Urwah Admin

BlackRock

BlackRock is a global asset manager and technology provider dedicated to helping individuals achieve financial well-being. The company assists millions in investing to build savings for their future, focusing on client needs and offering diverse investment choices. With a global investment platform, BlackRock provides access to worldwide markets, making investing easier and more affordable. The firm operates in over 40 countries, leveraging its expertise to help clients navigate changing market conditions.

<div>
 <strong>
  About This Role
  <br/>
  <br/>
 </strong>
 <strong>
  AI Labs Overview
  <br/>
  <br/>
 </strong>
 For more than 30 years, BlackRock has used technology, data, and analytical insight to improve how we serve clients and run our business. AI Labs builds on that foundation by applying data science, machine learning, generative AI, optimization, and statistics to strategic challenges across the firm.
 <br/>
 <br/>
 AI Labs is a firm-wide hub focused on combining human and machine intelligence to create measurable business impact. Our solutions support alpha generation, operational efficiency, cost reduction, and better decision-making across investments, operations, product, client engagement, and other areas of BlackRock.
 <br/>
 <br/>
 The team is multi-disciplinary, bringing together data scientists, engineers, researchers, product partners, and strategists with expertise across machine learning, statistical modelling, natural language processing, data visualization, graph analytics, ETL, data architecture, product delivery, and responsible production deployment.
 <br/>
 <br/>
 AI Labs has offices in New York, Edinburgh, Atlanta, San Francisco and Seattle.
 <br/>
 <br/>
 We are looking for candidates with diverse backgrounds, strong engineering foundations, and fresh perspectives who can help AI Labs bring best-in-class technologies, analytics, and insights to the firm and to our clients.
 <br/>
 <br/>
 <strong>
  About The Role
  <br/>
  <br/>
 </strong>
 We are looking for a software engineer to join BlackRock AI Labs. This role is suited to an engineer who enjoys building reliable production systems, working closely with data scientists and researchers, and helping turn AI and machine learning prototypes into robust products, platforms, and services.
 <br/>
 <br/>
 You do not need to be a machine learning researcher. We are looking for someone with strong software engineering judgement who can design, implement, test, deploy, and operate well-scoped production components. You will contribute to cloud-native services, data and ML workflows, internal platforms, and tools that help AI Labs deliver impact safely, responsibly, and efficiently.
 <br/>
 <br/>
 As an engineer, you will be expected to deliver meaningful features and improvements independently, while seeking guidance on more complex technical trade-offs. You will build breadth across the AI product lifecycle, strengthen your system design judgement, and contribute to the engineering quality and culture of the team.
 <br/>
 <br/>
 <strong>
  In this role, you can expect to
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Design, build, test, deploy, and maintain secure, scalable software components that support machine learning and generative AI products in production.
  </li>
  <li>
   Own well-scoped features, services, tools, or platform capabilities from implementation through release and operational support.
  </li>
  <li>
   Collaborate closely with data scientists, researchers, product partners, and other engineers to translate exploratory AI workflows into reliable production systems.
  </li>
  <li>
   Write high-quality, maintainable, well-tested code that is fit for purpose and easy for others to understand, extend, and operate.
  </li>
  <li>
   Improve the reliability, observability, performance, security, and usability of existing products, tools, and services.
  </li>
  <li>
   Participate in production support, troubleshooting, incident resolution, and follow-up improvements that reduce future operational risk.
  </li>
  <li>
   Contribute to technical design discussions, document decisions clearly, and escalate architectural risks or trade-offs when appropriate.
  </li>
  <li>
   Participate in code reviews, testing practices, CI/CD workflows, and team engineering processes.
  </li>
  <li>
   Proactively contribute to team culture by sharing knowledge, giving constructive feedback, and helping the team improve how it works.
  </li>
  <li>
   Use modern engineering tools, including AI-enabled development tools where appropriate, to improve productivity and engineering quality.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Minimum Requirements
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Typically 3+ years of professional software engineering experience, including experience shipping code to production environments.
  </li>
  <li>
   Strong programming skills in Python and practical experience with SQL.
  </li>
  <li>
   Experience building, testing, deploying, or maintaining cloud-native applications, services, APIs, databases, data pipelines, or distributed systems.
  </li>
  <li>
   Good understanding of software engineering fundamentals, including code quality, automated testing, version control, code review, and maintainability.
  </li>
  <li>
   Ability to independently deliver well-scoped features or components, while seeking guidance on complex design decisions.
  </li>
  <li>
   Strong problem-solving skills, with the ability to debug issues, reason through trade-offs, and learn new technologies.
  </li>
  <li>
   Strong communication and collaboration skills, including the ability to work effectively with technical and non-technical partners.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Preferred Experience
  <br/>
  <br/>
 </strong>
 Experience in one or more of the following areas would be helpful, but we do not expect candidates to have all of them:
 <br/>
 <br/>
 <ul>
  <li>
   Data pipelines, ETL tooling, or workflow orchestration frameworks such as Spark, Airflow, Dagster, or Flyte.
  </li>
  <li>
   Cloud infrastructure, containers, deployment automation, CI/CD pipelines, or DevOps practices.
  </li>
  <li>
   Observability and production support practices, including metrics, logging, tracing, alerting, and incident follow-up.
  </li>
  <li>
   Relational databases, columnar stores, data modelling, data validation, or performance tuning.
  </li>
  <li>
   APIs, networking, security, authentication, authorisation, load balancers, or API gateways.
  </li>
  <li>
   Machine learning or generative AI product lifecycles, including model serving, evaluation, monitoring, experimentation, or fine-tuning.
  </li>
  <li>
   Platform engineering or internal developer tooling that improves the productivity of engineers, data scientists, or researchers.
  </li>
  <li>
   Front-end or full-stack development where useful for delivering internal tools or user-facing workflows.
  </li>
  <li>
   Accelerated compute infrastructure such as GPUs, TPUs, or AWS Inferentia.
  </li>
  <li>
   AI coding assistants or other modern developer productivity tools.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What Success Looks Like
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Reliably deliver well-scoped features, fixes, and improvements that are adopted by users or improve team delivery.
  </li>
  <li>
   Build production software that is tested, observable, maintainable, secure, and operationally supportable.
  </li>
  <li>
   Help move AI ideas from prototype toward production by translating exploratory workflows into reliable, reusable engineering patterns.
  </li>
  <li>
   Develop stronger judgement around system design, trade-offs, reliability, and operational risk.
  </li>
  <li>
   Improve existing systems by reducing technical debt, increasing reliability, improving developer experience, or making services easier to operate.
  </li>
  <li>
   Communicate clearly, ask good questions, raise risks early, and contribute positively to team culture.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Our Benefits
  <br/>
  <br/>
 </strong>
 To help you stay energized, engaged and inspired, we offer a wide range of employee benefits including: retirement investment and tools designed to help you in building a sound financial future; access to education reimbursement; comprehensive resources to support your physical health and emotional well-being; family support programs; and Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about.
 <br/>
 <br/>
 <strong>
  Our hybrid work model
  <br/>
  <br/>
 </strong>
 BlackRock&rsquo;s hybrid work model is designed to enable a culture of collaboration and apprenticeship that enriches the experience of our employees, while supporting flexibility for all. Employees are currently required to work at least 4 days in the office per week, with the flexibility to work from home 1 day a week. Some business groups may require more time in the office due to their roles and responsibilities. We remain focused on increasing the impactful moments that arise when we work together in person &ndash; aligned with our commitment to performance and innovation. As a new joiner, you can count on this hybrid model to accelerate your learning and onboarding experience here at BlackRock.
 <br/>
 <br/>
 <strong>
  Guidance on AI use for candidates
  <br/>
  <br/>
 </strong>
 At BlackRock, AI has long been part of how we work &ndash; enhancing decision-making, improving operations, and helping us deliver better outcomes for clients. We encourage candidates to use AI thoughtfully to learn, prepare, and work more effectively; but during our interview process, we want to focus on getting to know you through your own experiences, thinking, and judgment. To support you, we&rsquo;ve provided
 <strong>
  guidance
 </strong>
 on when and how to use AI during our hiring process so you can approach each step with confidence and showcase your best self.
 <br/>
 <br/>
 <strong>
  About BlackRock
  <br/>
  <br/>
 </strong>
 At BlackRock, we are all connected by one mission: to help more and more people experience financial well-being. Our clients, and the people they serve, are saving for retirement, paying for their children&rsquo;s educations, buying homes and starting businesses. Their investments also help to strengthen the global economy: support businesses small and large; finance infrastructure projects that connect and power cities; and facilitate innovations that drive progress.
 <br/>
 <br/>
 This mission would not be possible without our smartest investment &ndash; the one we make in our employees. It&rsquo;s why we&rsquo;re dedicated to creating an environment where our colleagues feel welcomed, valued and supported with networks, benefits and development opportunities to help them thrive.
 <br/>
 <br/>
 To learn more about BlackRock, please visit Careers.BlackRock.com. We also encourage you to get to know us on LinkedIn, Instagram, YouTube, X, and TikTok.
 <br/>
 <br/>
 BlackRock is proud to be an Equal Opportunity Employer. We evaluate qualified applicants without regard to age, disability, race, religion, sex, sexual orientation and other protected characteristics at law.
</div>


Software Engineer, AI Labs

<div><div><div><div><p>Locations: <b>Edinburgh, United Kingdom</b></p></div></div></div></div><p></p>
<br><div><h2 class="jobSectionHeader"><b>Job description</b></h2>
<div><p><b>About this role</b></p>
<p></p><div><div><p><b>AI Labs Overview</b></p>
</div><div><p>For more than 30 years, BlackRock has used technology, data, and analytical insight to improve how we serve clients and run our business. AI Labs builds on that foundation by applying data science, machine learning, generative AI, optimization, and statistics to strategic challenges across the firm.</p>
</div><div><p>AI Labs is a firm-wide hub focused on combining human and machine intelligence to create measurable business impact. Our solutions support alpha generation, operational efficiency, cost reduction, and better decision-making across investments, operations, product, client engagement, and other areas of BlackRock.</p>
</div><div><p>The team is multi-disciplinary, bringing together data scientists, engineers, researchers, product partners, and strategists with expertise across machine learning, statistical modelling, natural language processing, data visualization, graph analytics, ETL, data architecture, product delivery, and responsible production deployment.</p>
</div><div><p>AI Labs has offices in New York, Edinburgh, Atlanta, San Francisco and Seattle.</p>
</div><div><p>We are looking for candidates with diverse backgrounds, strong engineering foundations, and fresh perspectives who can help AI Labs bring best-in-class technologies, analytics, and insights to the firm and to our clients.</p>
</div><p></p><div><p><b>About the role</b></p>
</div><div><p>We are looking for a software engineer to join BlackRock AI Labs. This role is suited to an engineer who enjoys building reliable production systems, working closely with data scientists and researchers, and helping turn AI and machine learning prototypes into robust products, platforms, and services.</p>
</div><div><p>You do not need to be a machine learning researcher. We are looking for someone with strong software engineering judgement who can design, implement, test, deploy, and operate well-scoped production components. You will contribute to cloud-native services, data and ML workflows, internal platforms, and tools that help AI Labs deliver impact safely, responsibly, and efficiently.</p>
</div><div><p>As an engineer, you will be expected to deliver meaningful features and improvements independently, while seeking guidance on more complex technical trade-offs. You will build breadth across the AI product lifecycle, strengthen your system design judgement, and contribute to the engineering quality and culture of the team.</p>
</div><p></p><div><p><b>In this role, you can expect to</b></p>
</div><div><ul><li><p>Design, build, test, deploy, and maintain secure, scalable software components that support machine learning and generative AI products in production.</p>
</li></ul></div><div><ul><li><p>Own well-scoped features, services, tools, or platform capabilities from implementation through release and operational support.</p>
</li></ul></div><div><ul><li><p>Collaborate closely with data scientists, researchers, product partners, and other engineers to translate exploratory AI workflows into reliable production systems.</p>
</li></ul></div><div><ul><li><p>Write high-quality, maintainable, well-tested code that is fit for purpose and easy for others to understand, extend, and operate.</p>
</li></ul></div><div><ul><li><p>Improve the reliability, observability, performance, security, and usability of existing products, tools, and services.</p>
</li></ul></div><div><ul><li><p>Participate in production support, troubleshooting, incident resolution, and follow-up improvements that reduce future operational risk.</p>
</li></ul></div><div><ul><li><p>Contribute to technical design discussions, document decisions clearly, and escalate architectural risks or trade-offs when appropriate.</p>
</li></ul></div></div><div><div><ul><li><p>Participate in code reviews, testing practices, CI/CD workflows, and team engineering processes.</p>
</li></ul></div><div><ul><li><p>Proactively contribute to team culture by sharing knowledge, giving constructive feedback, and helping the team improve how it works.</p>
</li></ul></div><div><ul><li><p>Use modern engineering tools, including AI-enabled development tools where appropriate, to improve productivity and engineering quality.</p>
</li></ul></div><p></p><div><p><b>Minimum</b><b> requirements</b></p>
</div><div><ul><li><p>Typically 3+ years of professional software engineering experience, including experience shipping code to production environments.</p>
</li></ul></div><div><ul><li><p>Strong programming skills in Python and practical experience with SQL.</p>
</li></ul></div><div><ul><li><p>Experience building, testing, deploying, or maintaining cloud-native applications, services, APIs, databases, data pipelines, or distributed systems.</p>
</li></ul></div><div><ul><li><p>Good understanding of software engineering fundamentals, including code quality, automated testing, version control, code review, and maintainability.</p>
</li></ul></div><div><ul><li><p>Ability to independently deliver well-scoped features or components, while seeking guidance on complex design decisions.</p>
</li></ul></div><div><ul><li><p>Strong problem-solving skills, with the ability to debug issues, reason through trade-offs, and learn new technologies.</p>
</li></ul></div><div><ul><li><p>Strong communication and collaboration skills, including the ability to work effectively with technical and non-technical partners.</p>
</li></ul></div><p></p><div><p><b>Preferred experience</b></p>
</div><div><p>Experience in one or more of the following areas would be helpful, but we do not expect candidates to have all of them:</p>
</div><div><ul><li><p>Data pipelines, ETL tooling, or workflow orchestration frameworks such as Spark, Airflow, Dagster, or Flyte.</p>
</li></ul></div><div><ul><li><p>Cloud infrastructure, containers, deployment automation, CI/CD pipelines, or DevOps practices.</p>
</li></ul></div><div><ul><li><p>Observability and production support practices, including metrics, logging, tracing, alerting, and incident follow-up.</p>
</li></ul></div><div><ul><li><p>Relational databases, columnar stores, data modelling, data validation, or performance tuning.</p>
</li></ul></div><div><ul><li><p>APIs, networking, security, authentication, authorisation, load balancers, or API gateways.</p>
</li></ul></div></div><div><div><ul><li><p>Machine learning or generative AI product lifecycles, including model serving, evaluation, monitoring, experimentation, or fine-tuning.</p>
</li></ul></div><div><ul><li><p>Platform engineering or internal developer tooling that improves the productivity of engineers, data scientists, or researchers.</p>
</li></ul></div><div><ul><li><p>Front-end or full-stack development where useful for delivering internal tools or user-facing workflows.</p>
</li></ul></div><div><ul><li><p>Accelerated compute infrastructure such as GPUs, TPUs, or AWS Inferentia.</p>
</li></ul></div><div><ul><li><p>AI coding assistants or other modern developer productivity tools.</p>
</li></ul></div><p></p><div><p><b>What success looks like</b></p>
</div><div><ul><li><p>Reliably deliver well-scoped features, fixes, and improvements that are adopted by users or improve team delivery.</p>
</li></ul></div><div><ul><li><p>Build production software that is tested, observable, maintainable, secure, and operationally supportable.</p>
</li></ul></div><div><ul><li><p>Help move AI ideas from prototype toward production by translating exploratory workflows into reliable, reusable engineering patterns.</p>
</li></ul></div><div><ul><li><p>Develop stronger judgement around system design, trade-offs, reliability, and operational risk.</p>
</li></ul></div><div><ul><li><p>Improve existing systems by reducing technical debt, increasing reliability, improving developer experience, or making services easier to operate.</p>
</li></ul></div><div><ul><li><p>Communicate clearly, ask good questions, raise risks early, and contribute positively to team culture.</p>
</li></ul></div></div><p></p><p><b>Our benefits</b></p>
<p></p><p>To help you stay energized, engaged and inspired, we offer a wide range of employee benefits including: retirement investment and tools designed to help you in building a sound financial future; access to education reimbursement; comprehensive resources to support your physical health and emotional well-being; family support programs; and Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about.</p>
<p></p><p><b>Our hybrid work model</b></p>
<p></p><p>BlackRock&rsquo;s hybrid work model is designed to enable a culture of collaboration and apprenticeship that enriches the experience of our employees, while supporting flexibility for all. Employees are currently required to work at least 4 days in the office per week, with the flexibility to work from home 1 day a week. Some business groups may require more time in the office due to their roles and responsibilities. We remain focused on increasing the impactful moments that arise when we work together in person &ndash; aligned with our commitment to performance and innovation. As a new joiner, you can count on this hybrid model to accelerate your learning and onboarding experience here at BlackRock.</p><br>
<p></p><p><br>
<b>Guidance on AI use for candidates<br>
</b></p><br>
<p>At BlackRock, AI has long been part of how we work &ndash; enhancing decision-making, improving operations, and helping us deliver better outcomes for clients. We encourage candidates to use AI thoughtfully to learn, prepare, and work more effectively; but during our interview process, we want to focus on getting to know you through your own experiences, thinking, and judgment. To support you, we&rsquo;ve provided <b>guidance</b>( opens in new window) on when and how to use AI during our hiring process so you can approach each step with confidence and showcase your best self.<br>
<br>
</p><br>
<p><b>About BlackRock</b></p><br>
<br>
<p>At BlackRock, we are all connected by one mission: to help more and more people experience financial well-being. Our clients, and the people they serve, are saving for retirement, paying for their children&rsquo;s educations, buying homes and starting businesses. Their investments also help to strengthen the global economy: support businesses small and large; finance infrastructure projects that connect and power cities; and facilitate innovations that drive progress.</p><br>
<br>
<p>This mission would not be possible without our smartest investment &ndash; the one we make in our employees. It&rsquo;s why we&rsquo;re dedicated to creating an environment where our colleagues feel welcomed, valued and supported with networks, benefits and development opportunities to help them thrive.</p><br>
<br>
<p>To learn more about BlackRock, please visit Careers.BlackRock.com( opens in new window). We also encourage you to get to know us on LinkedIn( opens in new window), Instagram( opens in new window), YouTube( opens in new window), X( opens in new window), and TikTok( opens in new window).</p><br>
<br>
<p>BlackRock is proud to be an Equal Opportunity Employer. We evaluate qualified applicants without regard to age, disability, race, religion, sex, sexual orientation and other protected characteristics at law.</p>
</div><div><b>Job Requisition #</b>
<br>
R264996</div></div><p></p>

<div><div><div><div><p>Locations: <b>Edinburgh, United Kingdom</b></p></div></div></div></div><p></p>
<br><div><h2 class="jobSectionHeader"><b>Job description</b></h2>
<div><p><b>About this role</b></p>
<p></p><p>We are seeking an associate Data Modeler/Engineer to cover the data domain supporting our global multi-factor Portfolio Risk models across fixed income and equity.</p>
<p></p><p>This role is responsible for ensuring that data powering our risk models is accurate, well-governed, fit-for-purpose, and operationally smooth for modeling teams. The focus is on data quality, validation, usability, and alignment with modeling requirements &mdash; not on owning infrastructure or engineering platforms.</p>
<p></p><p>The initial emphasis will be on model input data onboarding and quality control, with scope expanding to derived model data, model QC outputs, and research/new data exploration over time.</p>
<p></p><p>This is a strategic but hands-on role. The individual must be willing to dive into detailed data issues, prototype validation logic when needed, and drive execution across modeling, engineering, and upstream data teams.</p>
<p></p><p>Domain &amp; Data Scope</p>
<p>The portfolio risk models supported by this role span global fixed income and equity portfolios and depend on complex, multi-source data inputs, including:</p>
<ul><li>Market data (prices, yields, spreads, returns) across regions and time zones</li></ul>
<ul><li>Firm fundamentals and issuer-level financial metrics</li></ul>
<ul><li>Bond-level characteristics and reference/security master data</li></ul>
<ul><li>Fixed income analytics such as durations and spreads</li></ul>
<ul><li>Equity returns, factor inputs, and cross-asset pricing series</li></ul>
<p>Scope may extend to:</p>
<ul><li>Derived model outputs (factor exposures, covariance matrices, risk decompositions)</li></ul>
<ul><li>Model validation metrics and QC monitoring frameworks</li></ul>
<ul><li>Research and exploratory datasets, including structured and unstructured sources</li></ul>
<p></p><p>Key Responsibilities</p>
<p></p><p>Data Ownership for Portfolio Risk Models</p>
<p></p><ul><li>Ensure input data meets modeling standards for accuracy, completeness, consistency, and timeliness</li></ul>
<ul><li>Define practical and scalable QC standards aligned with portfolio risk requirements</li></ul>
<ul><li>Drive improvements in data usability and smooth integration into modeling workflows</li></ul>
<p>Quality Control &amp; Validation</p>
<p></p><ul><li>Design and prototype data validation rules and QC logic</li></ul>
<ul><li>Oversee monitoring of both input and derived model data</li></ul>
<ul><li>Ensure transparency, traceability, and reproducibility of model data</li></ul>
<ul><li>Apply pragmatic 80/20 thinking to prioritize high-impact data improvements</li></ul>
<p></p><p>Cross-Functional Alignment</p>
<p></p><ul><li>Partner closely with portfolio risk modeling teams to understand evolving data requirements</li></ul>
<ul><li>Work with data engineering teams to ensure modeling requirements are clearly specified and implemented</li></ul>
<ul><li>Interface with upstream data teams to resolve inconsistencies and improve reliability</li></ul>
<ul><li>Drive resolution of cross-team data issues with strong ownership and follow-through</li></ul>
<p></p><p>Research &amp; Data Evolution</p>
<p></p><ul><li>Support onboarding and evaluation of new datasets for modeling and research</li></ul>
<ul><li>Define governance standards for incorporating structured or unstructured data</li></ul>
<ul><li>Leverage AI/ML approaches where appropriate to enhance validation or exploratory analysis (a plus, not required)</li></ul>
<p>Leadership &amp; Communication</p>
<ul><li>Lead virtual and cross-regional initiatives related to portfolio risk model data</li></ul>
<ul><li>Provide structured updates and present key data risks or initiatives to senior management when required</li></ul>
<ul><li>Drive accountability and execution across stakeholders</li></ul>
<p></p><p>Education &amp; Experience</p>
<p></p><ul><li>Bachelor&rsquo;s degree in Mathematics, Statistics, Computer Science, Engineering, or a related quantitative or technical field</li></ul>
<ul><li>Advanced degree (e.g., Master&rsquo;s) preferred but not required</li></ul>
<ul><li>3+ years of relevant experience supporting data in quantitative modeling, risk, or analytics environments</li></ul>
<ul><li>Strong familiarity with data requirements of financial modeling/analytics</li></ul>
<ul><li>Experience working with complex financial datasets across global fixed income and/or equity</li></ul>
<p></p><p>Required Skills</p>
<p></p><ul><li>Deep understanding of data lifecycle, QC frameworks, and validation processes in quantitative environments</li></ul>
<ul><li>Strong grasp of portfolio risk modeling data requirements</li></ul>
<ul><li>Ability to prototype validation logic (Python/SQL or similar) to clarify and test requirements</li></ul>
<ul><li>Strong stakeholder management and communication skills</li></ul>
<ul><li>High accountability and strong execution mindset</li></ul>
<ul><li>Willingness to engage deeply with detailed, operational data issues</li></ul>
<p></p><p>Preferred Qualifications</p>
<p></p><ul><li>Experience supporting analytics data used in quantitative modeling, risk, or investment decision systems.</li></ul>
<ul><li>Background in quantitative analytics, data science, or data-focused development</li></ul>
<ul><li>Knowledge of market data vendors and financial products</li></ul>
<ul><li>Experience onboarding structured or unstructured datasets</li></ul>
<ul><li>Exposure to AI/ML techniques for data validation or monitoring</li></ul>
<p></p><p>What Success Looks Like</p>
<p></p><ul><li>Modeling teams receive clean, reliable, well-documented data inputs</li></ul>
<ul><li>QC frameworks materially improve model robustness</li></ul>
<ul><li>Data onboarding is efficient and aligned with modeling needs</li></ul>
<ul><li>Cross-team data issues are resolved quickly and sustainably</li></ul>
<ul><li>Data workflows feel smooth and predictable to modeling teams</li></ul>
<p></p><p><b>Our benefits</b></p>
<p></p><p>To help you stay energized, engaged and inspired, we offer a wide range of employee benefits including: retirement investment and tools designed to help you in building a sound financial future; access to education reimbursement; comprehensive resources to support your physical health and emotional well-being; family support programs; and Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about.</p>
<p></p><p><b>Our hybrid work model</b></p>
<p></p><p>BlackRock&rsquo;s hybrid work model is designed to enable a culture of collaboration and apprenticeship that enriches the experience of our employees, while supporting flexibility for all. Employees are currently required to work at least 4 days in the office per week, with the flexibility to work from home 1 day a week. Some business groups may require more time in the office due to their roles and responsibilities. We remain focused on increasing the impactful moments that arise when we work together in person &ndash; aligned with our commitment to performance and innovation. As a new joiner, you can count on this hybrid model to accelerate your learning and onboarding experience here at BlackRock.</p><br>
<p></p><p><br>
<b>Guidance on AI use for candidates<br>
</b></p><br>
<p>At BlackRock, AI has long been part of how we work &ndash; enhancing decision-making, improving operations, and helping us deliver better outcomes for clients. We encourage candidates to use AI thoughtfully to learn, prepare, and work more effectively; but during our interview process, we want to focus on getting to know you through your own experiences, thinking, and judgment. To support you, we&rsquo;ve provided <b>guidance</b>( opens in new window) on when and how to use AI during our hiring process so you can approach each step with confidence and showcase your best self.<br>
<br>
</p><br>
<p><b>About BlackRock</b></p><br>
<br>
<p>At BlackRock, we are all connected by one mission: to help more and more people experience financial well-being. Our clients, and the people they serve, are saving for retirement, paying for their children&rsquo;s educations, buying homes and starting businesses. Their investments also help to strengthen the global economy: support businesses small and large; finance infrastructure projects that connect and power cities; and facilitate innovations that drive progress.</p><br>
<br>
<p>This mission would not be possible without our smartest investment &ndash; the one we make in our employees. It&rsquo;s why we&rsquo;re dedicated to creating an environment where our colleagues feel welcomed, valued and supported with networks, benefits and development opportunities to help them thrive.</p><br>
<br>
<p>To learn more about BlackRock, please visit Careers.BlackRock.com( opens in new window). We also encourage you to get to know us on LinkedIn( opens in new window), Instagram( opens in new window), YouTube( opens in new window), X( opens in new window), and TikTok( opens in new window).</p><br>
<br>
<p>BlackRock is proud to be an Equal Opportunity Employer. We evaluate qualified applicants without regard to age, disability, race, religion, sex, sexual orientation and other protected characteristics at law.</p>
</div><div><b>Job Requisition #</b>
<br>
R264806</div></div><p></p>

Portfolio Risk Model Data Associate

<div><div><div><div><p>Locations: <b>London, United Kingdom; Edinburgh, United Kingdom</b></p>
<p>Additional Locations: <b>ED3 - 20 Brandon Street, Edinburgh</b></p></div></div></div></div><p></p>
<br><div><h2 class="jobSectionHeader"><b>Job description</b></h2>
<div><p><b>About this role</b></p>
<p></p><p>The VP AI Data Engineering Lead operates at the intersection of strategic influence, team leadership, and delivery excellence &mdash; playing a defining role in how AI-powered data and knowledge products are conceived, designed, and executed across the organization.</p>
<p></p><p>He/She/They lead a multi-team organization of AI agent engineers and data scientists &mdash; setting technical and delivery direction, building the team&rsquo;s capability, and holding accountability for the production systems powering the commercialized knowledge products.</p>
<p></p><p>He/She/They function as the most senior bridge between Product Management leadership, business functional stakeholders, and AI engineering &mdash; bringing the technical depth and strategic breadth to influence product vision while holding firm accountability for engineering delivery outcomes across multiple squads.</p>
<p></p><p>He/She/They sets the organizational standard for how product intent gets translated into technical reality, establishing engineering frameworks, authoring principles, and driving the culture of quality, accuracy, and ownership across the broader Product Lead community.</p>
<p></p><p>He/She/They are deeply experienced in the nuances of AI engineering, from agent workflow design and Vision AI evaluation to production validation, output-quality governance, and customer adoption of knowledge products. Beyond the delivery mandate, they are a builder of people and of technical leaders of tomorrow &mdash; developing high-performing teams and creating the conditions for others to do their best work.</p>
<p></p><p>This is a role for a leader who thinks in systems, acts with purpose, and measures their success not just by what ships, but by the commercial credibility and lasting organizational capability left behind.</p>
<p></p><p>Roles &amp; Responsibilities</p>
<ul><li><p>Lead a team of AI agent engineers and data scientists &mdash; setting technical direction, managing delivery, driving performance, developing individual capability across the team, and building the talent bench across the function.</p>
</li><li><p>Own end-to-end solution design &amp; delivery for complex AI features across multiple AI engineering squads building multi-agent, GenAI, and Vision AI workflows &mdash; ensuring consistency, quality, and strategic alignment at scale.</p>
</li><li><p>Drive backlog prioritization at the product-area level, balancing customer value, technical feasibility, AI accuracy expectations, model/vision constraints, and team capacity</p>
</li><li><p>Run sprint planning, team stand-ups, and retrospectives; create the operating rhythm and working environment for engineers and data scientists to do their best work</p>
</li><li><p>Proactively engage and act as the bridge between the Product Management, business stakeholders and AI engineering &mdash; influencing product vision &amp; feature prioritization (definition, scope, and sequencing) from deep understanding of technical possibility and commercial reality influence feature.</p>
</li><li><p>Partner with Product Managers to shape feature roadmaps, bringing technical and AI-specific insight that meaningfully influences what gets built, when, and at what quality bar.</p>
</li><li><p>Drive structured refinement sessions with the team, ensuring stories are technically complete and aligned on solution approach before development begins.</p>
</li><li><p>Define and enforce quality standards for user story delivery &mdash; including extraction accuracy, edge-case coverage, agent behaviour expectations, and non-functional requirements</p>
</li><li><p>Lead post-implementation validation efforts &mdash; coordinating UAT, output-quality reviews, production monitoring, and closing the loop with stakeholders on commercial outcomes</p>
</li><li><p>Support product activation and customer adoption &mdash; translating delivery milestones into customer-facing readiness for data/knowledge product rollout</p>
</li><li><p>Define and champion organization-wide standards for user story authoring, solution design, backlog management, and delivery quality for AI-powered knowledge products</p>
</li><li><p>Lead complex, cross-functional AI initiatives from discovery through delivery &mdash; managing dependencies, risks, and stakeholder expectations across teams.</p>
</li><li><p>Coach and mentor team members, conduct performance conversations, and contribute to hiring decisions for the AI engineering and data science team.</p>
</li><li><p>Establish frameworks for post-implementation validation, output-quality governance, production monitoring, and customer success during product activation and adoption at scale</p>
</li><li><p>Identify systemic delivery bottlenecks and drive process improvements that raise velocity and quality across the product organization</p>
</li><li><p>Build and mentor a high-performing team of AI agent engineers, and data scientists &mdash; driving hiring, onboarding, performance management, and career development at scale</p>
</li><li><p>Shape organizational design, team structure, and operating model for the AI data engineering function as the business scales</p>
</li></ul><p></p><p>Required Skills &amp; Experience</p>
<p><i>Technical Skills</i></p>
<ul><li><p>Minimum 6-8 years of experience in AI Engineering Delivery Lead, or AI Program Lead, or Engineering Manager roles, with at-least 2-3 years operating as AI Engineering Principal within a SaaS, AI, or data-product organization.</p>
</li><li><p>Deep expertise and Proven experience in AI solution design and technical scoping for AI-driven features &mdash; ideally including GenAI, LLM-based capabilities, Vision AI, and multi-agent workflows.</p>
</li><li><p>Strong command of scaled Agile delivery, cross-team dependency management, and delivery governance frameworks, backlog management, sprint planning, and Agile delivery tooling at scale (Jira, Confluence, Miro, or equivalent)</p>
</li><li><p>Ability to engage meaningfully with AI engineers and data scientists on architecture decisions, agent orchestration, prompt design, Vision AI trade-offs, and model behaviour</p>
</li><li><p>Fluency in the AI product development lifecycle &mdash; extraction accuracy, model evaluation, prompt engineering considerations, non-deterministic behaviour, and production monitoring</p>
</li><li><p>Solid understanding of evaluation approaches for AI outputs &mdash; accuracy metrics, ground-truth validation, human-in-the-loop review, and output-quality benchmarking</p>
</li><li><p>Familiarity with unstructured data extraction challenges across document, image, and multimodal inputs.</p>
</li><li><p>Advanced grasp of product analytics, AI output-quality measurement, and outcome-based evaluation frameworks for data/knowledge products</p>
</li><li><p>Deep understanding of responsible AI principles (accuracy governance, data provenance, and user trust as they relate to commercialized AI outputs) and their practical implications for feature design, accuracy governance, customer trust, and regulatory considerations</p>
</li></ul><p></p><p><i>Non-Technical &amp; Interpersonal Skills</i></p>
<ul><li><p>Executive-level communication skills &mdash; able to operate fluidly between engineering stand-ups and boardroom strategy conversations.</p>
</li><li><p>Excellent communication and stakeholder management skills &mdash; able to drive alignment across product, commercial, engineering, and domain-expert audiences</p>
</li><li><p>Strong strategic thinking &mdash; able to connect present engineering decisions &amp; strategy to long-term commercial positioning of AI knowledge/data products.</p>
</li><li><p>Strong analytical and structured problem-solving approach &mdash; breaks down complex extraction and knowledge-structuring problems into clear, actionable paths forward</p>
</li><li><p>Emotional intelligence and people-first leadership style &mdash; able to inspire, coach, and hold a diverse team of engineers and scientists to a high bar; earns trust quickly across diverse stakeholder groups including customers, commercial, and technical teams.</p>
</li><li><p>Business acumen &mdash; understands the fundamentals of financials services industry and/or software/data product business, and how product output quality &amp; timeliness directly affects customer trust and revenue.</p>
</li></ul><p></p><p><i>Leadership &amp; Ownership</i></p>
<ul><li><p>Proven track record of building, leading, and developing teams of engineers, data scientists, or technical specialists in an AI or data product context at scale.</p>
</li><li><p>Demonstrable experience influencing product vision and feature strategy at the leadership level &mdash; shaping what gets built, not just how.</p>
</li><li><p>Experience establishing organization-wide standards, frameworks, and practices that persist beyond individual initiatives.</p>
</li><li><p>Proven ability to set technical direction, manage delivery, and drive accountability across a cross-functional team.</p>
</li><li><p>Track record of mentoring individuals, running performance conversations, and contributing to hiring and team-building.</p>
</li><li><p>Courage to push back on feature scope or timelines when extraction accuracy, reliability, or commercial viability &mdash; or team sustainability &mdash; are at risk</p>
</li><li><p>Proven track record of owning complex AI delivery outcomes end-to-end, including post-launch validation and adoption.</p>
</li><li><p>Hands-on experience with hiring, team design, performance management, and succession planning for technical AI teams.</p>
</li><li><p>Ability to hold the bar on quality and delivery while advocating for the team &mdash; protecting focus, escalating constraints, and making hard prioritization calls</p>
</li><li><p>A builder-of-builders mindset &mdash; measures success by the capability and culture left behind, not just the features shipped.</p>
</li></ul><p></p><p>What This Role Offers</p>
<ul><li><p>Direct leadership of a high performing team of AI agent engineers and data scientists working on commercially impactful AI systems &amp; knowledge product portfolio &mdash; with meaningful autonomy and ownership.</p>
</li><li><p>Direct influence over organizational direction &mdash; working closely with executive leadership on product vision, hiring, and operating model decisions.</p>
</li><li><p>A meaningful seat at the table in shaping product &amp; engineering strategy, feature prioritization, and delivery practices for commercialized AI capabilities</p>
</li><li><p>A platform to build and lead a world-class organization of AI engineers, data scientists, and Product Leads &mdash; creating lasting capability in commercialized AI.</p>
</li><li><p>Direct exposure to emerging AI capabilities &mdash; multi-agent orchestration, GenAI, Vision AI &mdash; applied to real commercial problems at scale.</p>
</li></ul><ul><li><p>A clear path toward head-of-Engineering function leadership roles, with investment in mentorship, external learning, and executive development.</p>
</li></ul><p></p><p><b>Our benefits</b></p>
<p></p><p>To help you stay energized, engaged and inspired, we offer a wide range of employee benefits including: retirement investment and tools designed to help you in building a sound financial future; access to education reimbursement; comprehensive resources to support your physical health and emotional well-being; family support programs; and Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about.</p>
<p></p><p><b>Our hybrid work model</b></p>
<p></p><p>BlackRock&rsquo;s hybrid work model is designed to enable a culture of collaboration and apprenticeship that enriches the experience of our employees, while supporting flexibility for all. Employees are currently required to work at least 4 days in the office per week, with the flexibility to work from home 1 day a week. Some business groups may require more time in the office due to their roles and responsibilities. We remain focused on increasing the impactful moments that arise when we work together in person &ndash; aligned with our commitment to performance and innovation. As a new joiner, you can count on this hybrid model to accelerate your learning and onboarding experience here at BlackRock.</p><br>
<p></p><p><br>
<b>Guidance on AI use for candidates<br>
</b></p><br>
<p>At BlackRock, AI has long been part of how we work &ndash; enhancing decision-making, improving operations, and helping us deliver better outcomes for clients. We encourage candidates to use AI thoughtfully to learn, prepare, and work more effectively; but during our interview process, we want to focus on getting to know you through your own experiences, thinking, and judgment. To support you, we&rsquo;ve provided <b>guidance</b>( opens in new window) on when and how to use AI during our hiring process so you can approach each step with confidence and showcase your best self.<br>
<br>
</p><br>
<p><b>About BlackRock</b></p><br>
<br>
<p>At BlackRock, we are all connected by one mission: to help more and more people experience financial well-being. Our clients, and the people they serve, are saving for retirement, paying for their children&rsquo;s educations, buying homes and starting businesses. Their investments also help to strengthen the global economy: support businesses small and large; finance infrastructure projects that connect and power cities; and facilitate innovations that drive progress.</p><br>
<br>
<p>This mission would not be possible without our smartest investment &ndash; the one we make in our employees. It&rsquo;s why we&rsquo;re dedicated to creating an environment where our colleagues feel welcomed, valued and supported with networks, benefits and development opportunities to help them thrive.</p><br>
<br>
<p>To learn more about BlackRock, please visit Careers.BlackRock.com( opens in new window). We also encourage you to get to know us on LinkedIn( opens in new window), Instagram( opens in new window), YouTube( opens in new window), X( opens in new window), and TikTok( opens in new window).</p><br>
<br>
<p>BlackRock is proud to be an Equal Opportunity Employer. We evaluate qualified applicants without regard to age, disability, race, religion, sex, sexual orientation and other protected characteristics at law.</p>
</div><div><b>Job Requisition #</b>
<br>
R264955</div></div><p></p>

AI Data Engineering Lead, Vice President

<div><div><div>Location:</div>
<div><div><b>New York, New York</b></div>
</div></div><div><div>Team:</div>
<div><b>Corporate Strategy</b></div>
</div><div>Job Requisition #: <b>R263272</b></div>
<div>Date posted: <b>Apr. 13, 2026</b></div></div><p></p>
<br><div><h2 class="jobSectionHeader"><b>Job description</b></h2>
<div><p><b>About this role</b></p><p><b>
Role Overview</b></p><p>
We are seeking a hands-on, execution-oriented Vice President to work directly with the Chief Strategic Advisor to Aladdin on identifying, exploring, and applying AI and new technologies and tools to a broad set of business problems at BlackRock.</p><p>
This role is focused on experimentation, learning, and prototypingrather than ownership of said tools or platform. The prototypes may lead to production implementation which will be done through the appropriate existing teams at BlackRock. The successful candidate may be exposed to a wide range of business problems&mdash;spanning investing, operations, client service, distribution, and corporate functions&mdash;and will help brainstorm, prototype, and demonstrate how AI can improve productivity and unlock new business opportunities.</p><p>
The position will sit within the broader Portfolio Analytics Group (PAG) team to enable collaboration and sharing of best practices, while reporting both to Strategic Advisor and PAG.</p><p><b>
Key Responsibilities</b></p><p><b>
Applied AI &amp; Problem Solving</b></p><ul><li>Partner with senior leadership to explore AI-driven opportunities across the firm, with exposure to a wide range of business challenges</li><li>Independently prototype, test, and iterate on AI-enabled solutions using existing firm infrastructure and the latest tools</li><li>Translate business questions and pain points into practical proofs of concept with tangible business impact</li><li>Embrace an experimental mindset&mdash;rapid iteration, learning from results, and adjusting direction as needed</li></ul><p><b>
Collaboration &amp; Influence</b></p><ul><li>Engage with business teams across all parts of the firm to brainstorm and refine use cases</li><li>Influence adoption by demonstrating value through working examples</li><li>Serve as a connector between business teams and technical partners, helping shape ideas and approaches</li></ul><p><b>
Knowledge Sharing &amp; Enablement</b></p><ul><li>Capture and share learnings, patterns, and best practices across the organization</li><li>Contribute to an internal community of practice around AI and emerging technologies</li><li>Stay current on AI, fintech, and productivity trends and proactively surface ideas relevant to the firm</li></ul><p><b>
What Success Looks Like (12 Months)</b></p><ul><li>A diverse set of AI-driven experiments tested across multiple business areas</li><li>Tangible productivity improvements or new capability demonstrations in select workflows or business problems</li><li>Strong working relationships with business leaders and increased comfort engaging with AI tools</li><li>A clearer organizational understanding of where AI can&mdash;and cannot&mdash;add value</li></ul><p><b>
Qualifications &amp; Experience</b></p><ul><li>B.S./M.S. in Computer Science, Engineering, or related discipline preferred, though technical fluency and hands-on comfort with technology is key</li><li>4+ years of professional experience, with proven experience in using technology to deliver innovative and analytical solutions</li><li>Experience in financial services, investing, fintech, or consulting is helpful but not required</li><li>Deep technical fluency in Python with hands-on experience building scalable, production-grade services</li><li>Strong knowledge of agentic design patterns, such as planning/execution loops, routing/specialist agents, retrieval + tool orchestration, verification/reflection, and human-in-the-loop approvals using frameworks like Google ADK, LangChain and LangGraph or similar</li><li>Ability to learn new skills and concepts quickly, highly adaptable</li><li>Strong communication skills and interpersonal skills in working with a diverse set of stakeholders</li></ul>
For New York, NY Only the salary range for this position is USD$137,500.00 - USD$194,000.00 . Additionally, employees are eligible for an annual discretionary bonus, and benefits including healthcare, leave benefits, and retirement benefits. BlackRock operates a pay-for-performance compensation philosophy and your total compensation may vary based on role, location, and firm, department and individual performance.
<p><b>
Our benefits</b><br>
<br>
To help you stay energized, engaged and inspired, we offer a wide range of benefits including a strong retirement plan, tuition reimbursement, comprehensive healthcare, support for working parents and Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about.</p><p><b>
Our hybrid work model</b></p><p>
BlackRock&rsquo;s hybrid work model is designed to enable a culture of collaboration and apprenticeship that enriches the experience of our employees, while supporting flexibility for all. Employees are currently required to work at least 4 days in the office per week, with the flexibility to work from home 1 day a week. Some business groups may require more time in the office due to their roles and responsibilities. We remain focused on increasing the impactful moments that arise when we work together in person &ndash; aligned with our commitment to performance and innovation. As a new joiner, you can count on this hybrid model to accelerate your learning and onboarding experience here at BlackRock.</p><p><b>
About BlackRock</b></p><p>
At BlackRock, we are all connected by one mission: to help more and more people experience financial well-being. Our clients, and the people they serve, are saving for retirement, paying for their children&rsquo;s educations, buying homes and starting businesses. Their investments also help to strengthen the global economy: support businesses small and large; finance infrastructure projects that connect and power cities; and facilitate innovations that drive progress.</p><p>
This mission would not be possible without our smartest investment &ndash; the one we make in our employees. It&rsquo;s why we&rsquo;re dedicated to creating an environment where our colleagues feel welcomed, valued and supported with networks, benefits and development opportunities to help them thrive.</p><div>
For additional information on BlackRock, please visit @blackrock<div>
(opens in new window)</div>
 | Twitter: @blackrock<div>
(opens in new window)</div>
 | LinkedIn: www.linkedin.com/company/blackrock<div>
(opens in new window)</div></div><p></p><div>
BlackRock is proud to be an equal opportunity workplace. We are committed to equal employment opportunity to all applicants and existing employees, and we evaluate qualified applicants without regard to race, creed, color, national origin, sex (including pregnancy and gender identity/expression), sexual orientation, age, ancestry, physical or mental disability, marital status, political affiliation, religion, citizenship status, genetic information, veteran status, or any other basis protected under applicable federal, state, or local law. <b>View the </b><b>EEOC&rsquo;s Know Your Rights poster and its supplement</b><div><b>
(opens in new window)</b></div><b>
 and the </b><b>pay transparency statement</b><div><b>
(opens in new window)</b></div><b>
.</b></div><div>
BlackRock is committed to full inclusion of all qualified individuals and to providing reasonable accommodations or job modifications for individuals with disabilities. If reasonable accommodation/adjustments are needed throughout the employment process, please email Disability.Assistance@blackrock.com<div>
(opens in new window)</div>
. All requests are treated in line with our <b>privacy policy</b><div>
(opens in new window)</div>
.<div>
(opens in new window)</div></div>
BlackRock will consider for employment qualified applicants with arrest or conviction records in a manner consistent with the requirements of the law, including any applicable fair chance law.</div>
<div><div><b>Job Requisition #</b>
<br>
R263272</div></div></div><p></p>

Applied AI & Business Innovation, Vice President

<div><div><div>Location:</div>
<div><div><b>New York, New York</b></div>
</div></div><div><div>Team:</div>
<div><b>Accounting</b></div>
</div><div>Job Requisition #: <b>R263261</b></div>
<div>Date posted: <b>Apr. 10, 2026</b></div></div><p></p>
<br><div><h2 class="jobSectionHeader"><b>Job description</b></h2>
<div><p><b>About this role</b></p><p><b>
Overview:</b></p><p>
Global Infrastructure Partners (GIP), a part of BlackRock, is a leading infrastructure investor that specializes in investing in, owning, and operating some of the largest and most complex assets across the energy, transport, digital infrastructure, and water and waste management sectors.<br>
<br>
GIP&rsquo;s scaled platform has over $189 billion in assets under management. We believe that our focus on real infrastructure assets, combined with our deep proprietary origination network and comprehensive operational expertise, enables us to be responsible stewards of our clients&rsquo; capital and create positive economic impact for communities.</p><p><b>
Position Summary:</b></p><p>
The Staff Accounting Associate will be a key member of GIP&rsquo;s Finance Operations team supporting the accurate, timely, and compliant processing of accounting and accounts payable activities across the firm and its investment vehicles. This role partners closely with internal stakeholders, portfolio company contacts, and external vendors to ensure efficient invoice processing, payment execution, and ongoing process improvement within a fast-paced, global investment environment. Key responsibilities will include:</p><ul><li>
Managing DFF allocation rules, in partnership with GIP Fund Finance including regular review and remediation of outstanding allocation rules</li><li>
Reviewing and approving of cash applications to ensure accuracy and completeness</li><li>
Acting as an effective liaison with Fund Finance and Fund Administrators to ensure timely invoice payment</li><li>
Preparation and submission of DFF reconciliation to the GL via ARCS, on a timely basis</li><li>
Timely response to ad‑hoc DFF requests from internal stakeholders</li><li>
Being the primary point of contact for internal and external auditors</li><li>
Ensuring invoices produced are directed to the right team (fund admin, etc.)</li><li>
Applying cash</li><li>
Cash receipts</li><li>
AR aging management</li><li>
Active deal cost reporting</li></ul><p><b>
Qualifications:</b></p><ul><li>
Bachelor&rsquo;s degree in Accounting, Finance, Business, or a related field</li><li>
3-5 years of relevant accounts payable or finance operations experience, preferably within financial services, asset management, private equity, or a complex corporate environment</li><li>
Strong understanding of accounts payable processes, internal controls, and accounting fundamentals</li><li>
Experience with ERP and AP systems (e.g., SAP, Oracle, Workday, or similar platforms)</li><li>
Familiarity with global payment processes and multi-entity environments</li><li>
High level of attention to detail and accuracy, with the ability to manage multiple priorities and deadlines</li><li>
Strong communication and interpersonal skills, with a collaborative and service-oriented mindset</li><li>
Proficiency in Microsoft Excel and other Microsoft Office applications</li></ul>
For New York, NY Only the salary range for this position is USD$100,000.00 - USD$130,000.00 . Additionally, employees are eligible for an annual discretionary bonus, and benefits including healthcare, leave benefits, and retirement benefits. BlackRock operates a pay-for-performance compensation philosophy and your total compensation may vary based on role, location, and firm, department and individual performance.
<p><b>
Our benefits</b><br>
<br>
To help you stay energized, engaged and inspired, we offer a wide range of benefits including a strong retirement plan, tuition reimbursement, comprehensive healthcare, support for working parents and Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about.</p><p><b>
Our hybrid work model</b></p><p>
BlackRock&rsquo;s hybrid work model is designed to enable a culture of collaboration and apprenticeship that enriches the experience of our employees, while supporting flexibility for all. Employees are currently required to work at least 4 days in the office per week, with the flexibility to work from home 1 day a week. Some business groups may require more time in the office due to their roles and responsibilities. We remain focused on increasing the impactful moments that arise when we work together in person &ndash; aligned with our commitment to performance and innovation. As a new joiner, you can count on this hybrid model to accelerate your learning and onboarding experience here at BlackRock.</p><p><b>
About BlackRock</b></p><p>
At BlackRock, we are all connected by one mission: to help more and more people experience financial well-being. Our clients, and the people they serve, are saving for retirement, paying for their children&rsquo;s educations, buying homes and starting businesses. Their investments also help to strengthen the global economy: support businesses small and large; finance infrastructure projects that connect and power cities; and facilitate innovations that drive progress.</p><p>
This mission would not be possible without our smartest investment &ndash; the one we make in our employees. It&rsquo;s why we&rsquo;re dedicated to creating an environment where our colleagues feel welcomed, valued and supported with networks, benefits and development opportunities to help them thrive.</p><div>
For additional information on BlackRock, please visit @blackrock<div>
(opens in new window)</div>
 | Twitter: @blackrock<div>
(opens in new window)</div>
 | LinkedIn: www.linkedin.com/company/blackrock<div>
(opens in new window)</div></div><p></p><div>
BlackRock is proud to be an equal opportunity workplace. We are committed to equal employment opportunity to all applicants and existing employees, and we evaluate qualified applicants without regard to race, creed, color, national origin, sex (including pregnancy and gender identity/expression), sexual orientation, age, ancestry, physical or mental disability, marital status, political affiliation, religion, citizenship status, genetic information, veteran status, or any other basis protected under applicable federal, state, or local law. <b>View the </b><b>EEOC&rsquo;s Know Your Rights poster and its supplement</b><div><b>
(opens in new window)</b></div><b>
 and the </b><b>pay transparency statement</b><div><b>
(opens in new window)</b></div><b>
.</b></div><div>
BlackRock is committed to full inclusion of all qualified individuals and to providing reasonable accommodations or job modifications for individuals with disabilities. If reasonable accommodation/adjustments are needed throughout the employment process, please email Disability.Assistance@blackrock.com<div>
(opens in new window)</div>
. All requests are treated in line with our <b>privacy policy</b><div>
(opens in new window)</div>
.<div>
(opens in new window)</div></div>
BlackRock will consider for employment qualified applicants with arrest or conviction records in a manner consistent with the requirements of the law, including any applicable fair chance law.</div>
<div><div><b>Job Requisition #</b>
<br>
R263261</div></div></div><p></p>

Associate, Staff Accounting - GIP

<div><div><div>Location:</div>
<div><div><b>Wilmington, Delaware</b></div>
</div></div><div><div>Team:</div>
<div><b>Technology Product</b></div>
</div><div>Job Requisition #: <b>R263212</b></div>
<div>Date posted: <b>Apr. 09, 2026</b></div></div><p></p>
<br><div><h2 class="jobSectionHeader"><b>Job description</b></h2>
<div><p><b>About this role</b></p><p>
We are looking for a detail oriented, self-motivated, and collaborative Fund Data Specialist to join our AMRS WTS Fund Data Operations team. They will be responsible for the representation of our products across our public websites and services. These products cover an extensive range including iShares ETFs, BlackRock Mutual Funds, Closed End Funds, and BlackRock Indexes. The ideal candidate will use their knowledge of financial instruments and markets to build a strong understanding of our product offering and technology platform. They will need to have excellent communication and proficient negotiation skills to work with a broad group of often senior executives in Product, Sales, Marketing, Technology, Legal and Compliance to ensure that we represent our product in the best possible way. They will partner with our product teams to help them navigate the firm and enable the setup of data feeds with internal and external providers. Finally, they will need to analyze, manage, document and execute operational and technology changes to support Blackrock&rsquo;s ever evolving product offering.</p><h1 class="jobSectionHeader"><b>
Key Job Responsibilities</b></h1><ul><li><p>
Interact with various AMRS stakeholders to understand the data needs of their product and deliver solutions which address the specific requirements of a product or business.</p></li><li><p>
Aid in the formation and execution of platform changes to translate business requirements into scalable technology solutions.</p></li><li><p>
Manage the delivery of solutions from ideation to completion, including testing and on-going support of applications.</p></li><li><p>
Manage existing production systems and processes, while implementing strategic solutions that help to create common data products that can be used throughout WTS.</p></li><li><p>
Be the subject matter authority on Fund data and teach other teams how to navigate the firm and implement scalable changes.</p></li><li><p>
Liaise with business areas in order to provide end user support and training.</p></li><li><p>
Partner with WTS team members, Onboarding, Product, Legal, Compliance, and other groups on everyday processes to help meet the channel&rsquo;s needs.</p></li><li><p>
Work closely with members of the WTS Engineering team to develop new ideas and concepts, and to constantly find opportunities to improve existing processes.</p></li></ul><h1 class="jobSectionHeader"><b>
Required Skills &amp; Experience</b></h1><ul><li><p>
1-3+ years of experience in Financial Services or Investment Management</p></li><li><p>
Strong written and verbal communication skills.</p></li><li><p>
Organized, accurate, and detail oriented.</p></li><li><p>
Experience with product management and/or software development.</p></li><li><p>
Experience of producing detailed business requirements documentation.</p></li><li><p>
Ability to grasp complex systems and focus on multiple projects and tasks simultaneously.</p></li><li><p>
Bachelor&rsquo;s degree in computer science, engineering, mathematics, economics or finance related field.</p></li></ul><h1 class="jobSectionHeader"><b>
Preferred Skills &amp; Experience</b></h1><ul><li><p>
Formal product management or business analysis qualification.</p></li><li><p>
Experience with Python, SQL, PySpark.</p></li></ul>
For Wilmington, DE Only the salary range for this position is USD$80,750.00 - USD$100,000.00 . Additionally, employees are eligible for an annual discretionary bonus, and benefits including healthcare, leave benefits, and retirement benefits. BlackRock operates a pay-for-performance compensation philosophy and your total compensation may vary based on role, location, and firm, department and individual performance.<p><b>
Our benefits</b><br>
<br>
To help you stay energized, engaged and inspired, we offer a wide range of benefits including a strong retirement plan, tuition reimbursement, comprehensive healthcare, support for working parents and Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about.</p><p><b>
Our hybrid work model</b></p><p>
BlackRock&rsquo;s hybrid work model is designed to enable a culture of collaboration and apprenticeship that enriches the experience of our employees, while supporting flexibility for all. Employees are currently required to work at least 4 days in the office per week, with the flexibility to work from home 1 day a week. Some business groups may require more time in the office due to their roles and responsibilities. We remain focused on increasing the impactful moments that arise when we work together in person &ndash; aligned with our commitment to performance and innovation. As a new joiner, you can count on this hybrid model to accelerate your learning and onboarding experience here at BlackRock.</p><p><b>
About BlackRock</b></p><p>
At BlackRock, we are all connected by one mission: to help more and more people experience financial well-being. Our clients, and the people they serve, are saving for retirement, paying for their children&rsquo;s educations, buying homes and starting businesses. Their investments also help to strengthen the global economy: support businesses small and large; finance infrastructure projects that connect and power cities; and facilitate innovations that drive progress.</p><p>
This mission would not be possible without our smartest investment &ndash; the one we make in our employees. It&rsquo;s why we&rsquo;re dedicated to creating an environment where our colleagues feel welcomed, valued and supported with networks, benefits and development opportunities to help them thrive.</p><div>
For additional information on BlackRock, please visit @blackrock<div>
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 | Twitter: @blackrock<div>
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 | LinkedIn: www.linkedin.com/company/blackrock<div>
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BlackRock is proud to be an equal opportunity workplace. We are committed to equal employment opportunity to all applicants and existing employees, and we evaluate qualified applicants without regard to race, creed, color, national origin, sex (including pregnancy and gender identity/expression), sexual orientation, age, ancestry, physical or mental disability, marital status, political affiliation, religion, citizenship status, genetic information, veteran status, or any other basis protected under applicable federal, state, or local law. <b>View the </b><b>EEOC&rsquo;s Know Your Rights poster and its supplement</b><div><b>
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 and the </b><b>pay transparency statement</b><div><b>
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BlackRock is committed to full inclusion of all qualified individuals and to providing reasonable accommodations or job modifications for individuals with disabilities. If reasonable accommodation/adjustments are needed throughout the employment process, please email Disability.Assistance@blackrock.com<div>
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. All requests are treated in line with our <b>privacy policy</b><div>
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.<div>
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BlackRock will consider for employment qualified applicants with arrest or conviction records in a manner consistent with the requirements of the law, including any applicable fair chance law.</div>
<div><div><b>Job Requisition #</b>
<br>
R263212</div></div></div><p></p>

Analyst, Technology Product Management / Wilmington, DE

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Analyst, Technology Product Management / Wilmington, DE