data engineer

data scientist

senior data scientist

senior ai engineer

analytics engineer

analytics leader

JPMorganChase

<div>JOB DESCRIPTION 
 
 
Client360 is one of JPMorgan Chase Commercial &amp; Investment Bank's strategic pillars, building the future of our business, and unifying the data fabric of all client activity. Combined with external data, Client360 leverages this unique data asset to deliver insight and enterprise rewiring at scale.
Are you passionate about Agentic AI and operational transformation? As the Agentic AI Operations Lead, you will drive the development and management of agentic AI solutions, enabling intelligent automation across Client360. You will help shape the future of Client360, enhance client engagement, and accelerate business-wide growth and transformation.
Within Data, Digital and AI, as the C360 Agentic AI Operations Lead you will be responsible for the product development and technology build of the Agentic AI workbench and integrated control environment. On establishing this platform, you will work hand-in-hand with the platform and data operations teams to pivot their day-to-day activities into agent led workflows.
Job Responsibilities
<ul><li>Partners with architecture and engineering to establish the future state architecture of the Agentic AI workbench, leveraging market leading agent orchestration, evaluation and connectivity protocols to keep C360 on the cutting edge of agent-led operations.</li>
<li>Manages the delivery, optimization, and integration of agentic AI operations for Client360, ensuring alignment with CIB-wide goals and organizational objectives.</li>
<li>Participates in the planning, execution, and risk management of AI operations programs, including frameworks for AI deployment, monitoring, and operational efficiency.</li>
<li>Supports agentic AI initiatives, from ideation and development to implementation and continuous improvement, adapting to evolving business needs and managing risks.</li>
<li>Coaches and mentors junior team members on best practices in AI operations management, business analysis, stakeholder engagement, and change management, enabling effective delivery of objectives.</li>
<li>Collaborates with engineering, operations, and business teams to maintain and enhance agentic AI platforms, ensuring scalability, reliability, and user-centricity.</li>
<li>Helps define the user experience for Client360 agentic AI operations, focusing on process optimization, data-driven insights, and stakeholder satisfaction.</li>
<li>Supports foundational business processes that enable Client360 through AI-driven solutions.</li>
<li>Assists in establishing and monitoring key performance indicators, ensuring agentic AI operations deliver measurable business value and support long-term strategic goals.</li>
<li>Leverages analytics and AI tools to help derive actionable insights from integrated data and third-party sources, supporting comprehensive client profiles and improved decision-making.</li>
<li>Understands the needs of internal teams and anticipates future requirements, collaborating with stakeholders across Markets, Payments, Global Banking, and the Private Bank to drive consistency and adoption of agentic AI solutions.</li>
<li>Utilizes agentic AI operations to deliver personalized client experiences, streamline operations, and enhance decision-making, while supporting regulatory compliance and risk management.</li>
</ul>Required qualifications, capabilities, and skills
<ul><li>5+ years of experience or equivalent expertise delivering AI operations, business initiatives, or transformation programs.</li>
<li>Strong knowledge of agentic AI systems, service delivery, business process improvement, strategic planning, and data analytics.</li>
<li>Demonstrated ability to support adoption of key AI operations lifecycle activities including discovery, ideation, development, requirements definition, and value management.</li>
<li>Experience supporting change within organizations and managing stakeholders across multiple functions.</li>
<li>Track record of contributing to large-scale AI integration and analytics projects.</li>
<li>Good understanding of AI integration techniques, data governance, regulatory compliance, and operational risk management.</li>
<li>Customer-centric mindset with the ability to prioritize and deliver what clients and stakeholders need.</li>
<li>Experience in working with cross-functional teams and managing stakeholders to drive AI innovation.</li>
<li>Excellent problem-solving skills and strategic thinking about agentic AI operations and their impact on organizational objectives.</li>
<li>Strong communication and interpersonal skills, with the ability to articulate and present complex AI concepts and insights to both technical and non-technical audiences.</li>
<li>Experience with emerging technologies and best practices in AI operations, business analytics, and CRM.</li>
</ul>Preferred qualifications, capabilities, and skills
<ul><li>Experience working in a highly matrixed, complex organization.</li>
<li>Experience in AI operations management, business process management, CRM systems, or related fields within a financial institution.</li>
<li>Bachelor's degree in Business, Data Science, Computer Science, or a related field; advanced degree preferred.</li>
<li>Experience in ensuring customers and stakeholders are engaged and positive about the AI solutions delivered.</li> 
</ul><div></div> 
ABOUT US
 
 
J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. 
<div><div>We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. 
</div></div> 
 
ABOUT THE TEAM
 
 
J.P. Morgan's Commercial &amp; Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial &amp; Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.</div>

Agentic AI Ops Lead

<div>JOB DESCRIPTION 
 
 
The Chief Data &amp; Analytics Office (CDAO) at JPMorgan Chase is responsible for accelerating the firm's data and analytics journey. This includes ensuring the quality, integrity, and security of the company's data, as well as leveraging this data to generate insights and drive decision-making. The CDAO is also responsible for developing and implementing solutions that support the firm's commercial goals by harnessing artificial intelligence and machine learning technologies to develop new products, improve productivity, and enhance risk management effectively and responsibly.
As an Applied AI ML Director - NLP / LLM and Graphs within the Chief Data &amp; Analytics Office, Machine Learning Centre of Excellence, you will have the opportunity to apply sophisticated machine learning methods to complex tasks including natural language processing, graph analytics, speech analytics, time series, reinforcement learning and recommendation systems. You will collaborate with various teams and actively participate in our knowledge sharing community. We are looking for someone who excels in a highly collaborative environment, working together with our business, technologists and control partners to deploy solutions into production. If you have a strong passion for machine learning and enjoy investing time towards learning, researching and experimenting with new innovations in the field, this role is for you. We value solid expertise in Deep Learning with hands-on implementation experience, strong analytical thinking, a deep desire to learn and high motivation.
Job Responsibilities<ul><li>
Develop state-of-the art machine learning models to solve real-world problems and apply it to tasks such as natural language processing (NLP), speech recognition and analytics, time-series predictions or recommendation systems</li><li>
Collaborate with multiple partner teams such as Business, Technology, Product Management, Legal, Compliance, Strategy and Business Management to deploy solutions into production</li><li>
Lead, mentor, and inspire a team of AI engineers, fostering a culture of excellence, innovation, and continuous learning
</li><li>Drive Firm wide initiatives by developing large-scale frameworks to accelerate the application of machine learning models across different areas of the business</li>
Research and explore new machine learning methods through independent study, attending industry-leading conferences, experimentation and participating in our knowledge sharing community 
<li>
</li></ul>Required qualifications, capabilities, and skills<ul><li>
PhD in a quantitative discipline, e.g. Computer Science, Electrical Engineering, Mathematics, Operations Research, Optimization, or Data Science Or an MS with significant years of industry or research experience in the field.</li><li>
Solid background in NLP, LLM and graph analytics and hands-on experience and solid understanding of machine learning and deep learning methods</li><li>
Hands on experience building agentic AI / multi-agent systems within regulated or compliance-driven environments
Recent hands-on experience training, deploying models and pipelines
</li><li>Ability to design experiments and training frameworks, and to outline and evaluate intrinsic and extrinsic metrics for model performance aligned with business goals, with a focus on agentic systems and LLM evaluation</li><li>
Experience with big data and scalable model training and solid written and spoken communication to effectively communicate technical concepts and results to both technical and business audiences.</li><li>
Scientific thinking with the ability to invent and to work both independently and in highly collaborative team environments</li><li>
Solid written and spoken communication to effectively communicate technical concepts and results to both technical and business audiences. Curious, hardworking and detail-oriented, and motivated by complex analytical problems</li></ul>
Preferred qualifications, capabilities , and skills:<ul><li>
Strong background in Mathematics and Statistics and familiarity with the financial services industries and continuous integration models and unit test development</li><li>
Knowledge in graph integration with LLM, Reinforcement Learning or Meta Learning</li><li>
Experience with A/B experimentation and data/metric-driven product development, cloud-native deployment in a large scale distributed environment and ability to develop and debug production-quality code</li><li>
Published research in areas of Machine Learning, Deep Learning or Reinforcement Learning at a major conference or journal</li></ul>
About MLCOE 
The Machine Learning Center of Excellence (MCLOE) team partners across the firm to create and share Machine Learning Solutions for our most challenging business problems. In this role you will work and collaborate with a team comprised of a multi-disciplinary community of experts focused exclusively on Machine Learning. On this team you will work with cutting-edge techniques in disciplines such as Deep Learning and Reinforcement Learning
For more information about the MLCOE, please visit http://www.jpmorgan.com/mlcoe.
ABOUT US
 
 
J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. 
<div><div>We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. 
</div></div> 
 
ABOUT THE TEAM
 
 
Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.</div>

Applied AI ML Director - NLP / LLM and Graphs

Swift

<div><div>ABOUT US
We&rsquo;re the world&rsquo;s leading provider of secure financial messaging services, headquartered in Belgium. We are the way the world moves value &ndash; across borders, through cities and overseas. No other organisation can address the scale, precision, pace and trust that this demands, and we&rsquo;re proud to support the global economy.
We&rsquo;re unique too. We were established to find a better way for the global financial community to move value &ndash; a reliable, safe and secure approach that the community can trust, completely. We&rsquo;re always striving to be better and are constantly evolving in an ever-changing landscape, without undermining that trust. Five decades on, our vibrant community reflects the complexity and diversity of the financial ecosystem. We innovate diligently, test exhaustively, then implement fast. In a connected and exciting era, our mission has never been more relevant. Swift now has a presence in 200+ countries and legal territories to serve a community of more than 12,000 banks and financial institutions.
</div>Role purpose
To shape, inspire, and prepare Swift for the age of AI&hellip; defining what is possible, building the case for where to act, and ensuring the organization has the vision, appetite, and capability to lead. By leveraging existing AI and Analytics capabilities, you pioneer how they can deliver tangible business value and set Swift up for success in the coming years.
As Head of AI and Analytics Strategy and Exploration , you operate at the leading edge of change. You scan the horizon, interpret emerging trends before they become consensus, and translate external signals into clear strategic direction. You do not wait for the industry to show the way. You challenge assumptions, surface non-obvious opportunities, and turn the potential of AI and Analytics into differentiated advantage for Swift and its customers.
This is a role that spans the full arc from insight to impact. You identify and develop high-value opportunities, drive experimentation through to validated outcomes, and build a balanced portfolio of bets that reflects both near-term commercial reality and longer-term ambition. In doing so, you create a continuous pipeline of well-defined, decision-ready opportunities that engineering and delivery teams can act on, connecting strategy to execution in a way that is disciplined, not theoretical.
Reporting to the Head of AI, Analytics and Automation, you operate as a trusted partner to senior leadership across Swift by bringing structure and confidence to decisions, scaling the adoption of proven capabilities, and ensuring the wider organisation understands and is prepared for what AI makes possible today and in the future. You own key external relationships with customers, vendors, and partners, and you represent Swift as a credible and compelling voice on AI strategy in industry forums and client conversations alike.
This is a role for someone who thinks boldly, communicates with clarity, and knows how to turn vision into momentum.
Specific responsibilities include:
<ul><li>Strategic foresight - Monitor the evolution of AI and Analytics technologies, market dynamics, and ecosystem players, translating external signals into clear and actionable business strategic implications for the organisations. Build forward-looking perspectives on how AI will reshape the industry, our customers, and our operating models. Provide structured, fact-based guidance to senior leadership on what matters now and what will matter next .</li>
</ul><ul><li>Communicating the art of the possible - Champions AI's potential across the organisation, translating cutting-edge capability into compelling narratives that inspire curiosity and ambition. Builds shared understanding of what AI can deliver today and shapes a credible, forward-looking vision for where it is headed.</li>
</ul><ul><li>Opportunity exploration - Identify and pursue high-value opportunities at the intersection of enterprise priorities and AI and Analytics capability. Challenge existing assumptions about where value lives, surface non-obvious use cases, and build the case for bold bets. Drive momentum from insight to action, ensuring promising opportunities are translated into tangible initiatives rather than remaining theoretical.</li>
</ul><ul><li>Experimentation and delivery - Drive AI and Analytics opportunities end to end, from early hypothesis through experimentation, proof-of-concept, and into validated outcomes. Maintain momentum across the full arc, ensuring promising ideas don't stall at the exploratory stage. Communicate progress, learnings, and results in ways that build organisational confidence and appetite for further investment.</li>
</ul><ul><li>Portfolio construction &amp; prioritization - Build and maintain a balanced AI and Analytics portfolio that combines near-term impact with longer-term strategic bets. Recommend investment priorities and sequencing, ensuring alignment with enterprise strategy and risk appetite. Enable informed, fact-based decision-making at executive level through clear framing of trade-offs, value, and dependencies.</li>
</ul><ul><li>Leadership &amp; team development - Lead, coach, and develop a team, setting clear objectives and high standards for delivery. Ensure accountability for quality, performance, and outcomes, while fostering a culture of curiosity, rigor, and continuous learning. Strengthen team capability to operate at the intersection of strategy, innovation, and execution.</li>
</ul><ul><li>External relationships and partnerships - Own and cultivate relationships with key external stakeholders including customers, technology vendors, research institutions, and ecosystem partners. Identify and drive partnership opportunities that accelerate Swift's AI and Analytics agenda, bringing in capability, insight, and influence that would be difficult to build internally.
</li></ul><ul><li>External representation and thought leadership - Represent Swift externally as a credible voice on AI and Analytics strategy, articulating a compelling and coherent narrative about where Swift is headed and why it matters. Contribute to industry forums, client conversations, and public discourse in ways that build Swift's reputation as a forward-thinking leader in the application of AI across financial market infrastructure.</li>
</ul>Qualifications &amp; Experience Required
The ideal candidate brings a strong track record in strategy and exploration, with 5&ndash;10 years of relevant experience and a solid commercial grounding in AI and Analytics within the financial services industry. They combine disciplined execution with strategic vision, and demonstrate curiosity, foresight, and a genuine passion for applying emerging technologies to complex, real-world challenges at global scale.
Beyond experience, the role requires the ability to navigate ambiguity, shape direction, and translate innovation into meaningful outcomes for Swift and its community.
We are seeking professionals with:
Experience and Background
<ul><li>10+ years in data, analytics, or AI roles, with at least 3 to 5 years at a senior or leadership level</li>
</ul><ul><li>Demonstrated experience setting AI or analytics strategy in a complex, enterprise environment, shaping direction and building the case for investment, not just delivering projects</li>
</ul><ul><li>Track record of translating technical capability into business outcomes including revenue growth, operational efficiency, and risk reduction</li>
</ul><ul><li>Comfortable operating in a matrixed organisation, influencing without direct authority across product, engineering, commercial, and senior leadership teams</li>
</ul>Technical Fluency
<ul><li>Sufficient depth to interrogate technical proposals, assess feasibility, and hold vendors and partners accountable
</li></ul><ul><li>Working knowledge of modern AI and ML approaches including classical ML, large language models, and agentic systems, with sound judgement on when each is appropriate</li>
</ul><ul><li>Understanding of data infrastructure fundamentals &mdash; pipelines, governance, and data quality &mdash; as a prerequisite to realising AI value at scale</li>
</ul>Preferred Qualifications
<ul><li>Deep familiarity with regulated AI deployment including governance frameworks, explainability requirements, and vendor risk management</li>
</ul><ul><li>Commercial exposure: having owned or influenced a P&amp;L, shaped a product, or worked directly with enterprise clients on AI adoption</li>
</ul><ul><li>Hands-on background in data science, ML, or software engineering earlier in career, lending credibility with technical teams and sharpening build-versus-buy instincts</li>
</ul><ul><li>Familiarity with agentic AI architectures, multi-model orchestration, and emerging AI infrastructure patterns</li>
</ul><ul><li>Background in or alongside consulting, advisory, or product strategy functions</li>
</ul><ul><li>Strong external network across AI research, fintech, or financial standards bodies</li>
</ul>Desirable
<ul><li>Experience working in or closely with financial services, payments, or infrastructure-adjacent sectors, with a strong understanding of industry dynamics, regulatory environments, and client expectations</li>
</ul><ul><li>Exposure to the SWIFT ecosystem or equivalent &mdash; correspondent banking, ISO 20022, sanctions screening &mdash; would meaningfully accelerate onboarding</li>
</ul>What we offer
We give you the freedom to be yourself. We are creating an environment of unique individuals &ndash; like you &ndash; with different perspectives on the financial industry and the world. A diverse and inclusive environment in which everyone&rsquo;s voice counts and where you can reach your full potential.
We are committed to an inclusive and accessible recruitment process. If you require a reasonable accommodation related to accessibility during your application or interview, please contact accessibility-Sysgroup@swift.com or indicate this in your application.
Please note that this mailbox is not monitored for general recruitment enquiries and should only be used for accessibility or accommodation-related requests (for example related to vision, hearing or neurodiversity).
All requests are confidential and will not affect your candidacy.
Don&rsquo;t meet every single requirement? At Swift, we are dedicated to building a workplace where people can bring their full selves and ideas to the team, so if you are excited about this role, we encourage you to apply even if you do not meet every single qualification.</div>

Head of AI and Analytics Strategy and Exploration

Google

<div><h3 class="jobSectionHeader">Minimum qualifications:</h3><ul>
<li>Bachelor's degree or equivalent practical experience.</li>
<li>6 years of experience with cloud-native architecture in technical delivery, customer engineering, or enterprise architecture and in a customer-facing or enterprise support role.</li>
<li>Experience in technical deployment planning, architecture orchestration, or technical delivery management.</li>
<li>Experience with enterprise integrations (APIs, ECMs, identity), Cloud infrastructure, and AI/ML model deployments.</li>
<li>Experience with programming languages, API integration, debugging, or enterprise systems design.</li>
<li>Experience leading technical delivery strategies, debugging systems, and interfacing with product/engineering organizations.</li></ul> 
<h3 class="jobSectionHeader">
Preferred qualifications:</h3><ul>
<li>L300/L400 level technical proficiency or relevant AI/ML and Cloud architecture certifications.</li>
<li>Experience guiding customers through the architectural and organizational transformations needed to deploy production-grade AI models or agents in enterprise environments.</li>
<li>Technical experience in one or more of the following: Cloud AI solutions, Enterprise Data Management, Data Analytics, Infrastructure Modernization, Security, or Cloud Networking.</li>
<li>Ability to dive deep into novel technical problems, decipher extreme ambiguity, diagnose bugs, and emerge with credible architectural solution.</li>
<li>Proven track record interfacing directly with core product and engineering organizations to escalate product bugs, advocate for feature gaps, and unblock systemic deployments.</li>
</ul><div><h2 class="jobSectionHeader">About the job</h2>
The Google Cloud Platform team helps customers transform and build what's next for their business &mdash; all with technology built in the cloud. Our products are developed for security, reliability and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping our customers &mdash; developers, small and large businesses, educational institutions and government agencies &mdash; see the benefits of our technology come to life. As part of an entrepreneurial team in this rapidly growing business, you will play a key role in understanding the needs of our customers and help shape the future of businesses of all sizes use technology to connect with customers, employees and partners.

As an AI Outcome Customer Engineer (AI OCE), you will drive initial and ongoing revenue ramp for our enterprise customers, clearing complex blockers and ensuring they realize maximum business value from their Cloud AI investments faster. You will manage and execute the technical deployment plan, transitioning scoped license agreements into robust production deployments by providing authoritative technical leadership to customers and partners. 
You will have a direct impact on the velocity and incremental consumption of customer agreements, leading to accelerated value realization, higher adoption, and future expansion opportunities. You will blend sales acumen, enterprise architecture knowledge, technical engagement, and technical delivery management to prove and scale the value of Google's premier Cloud AI solutions.
Google Cloud accelerates every organization&rsquo;s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google&rsquo;s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.</div><div><h2 class="jobSectionHeader">
Responsibilities</h2><ul>
<li>Develop and orchestrate a structured, end-to-end technical deployment plan across customer and partner teams. Lead upfront architectural validation to ensure integration readiness before execution begins.</li>
<li>Dive into complex technical workflows to diagnose, debug, and resolve implementation roadblocks. Act as a technical bridge to core product and support engineering teams to eliminate systemic friction and accelerate customer delivery.</li>
<li>Drive and track the progress of the initial and ongoing ramp of Cloud AI license agreements, guiding enterprise workloads from agreement to active consumption as rapidly and securely as possible.</li>
<li>Partner collaboratively with Account an CEs team during the technical evaluation phase of key deals to ensure proposed Cloud AI solutions are architected for viable, scalable long-term adoption.</li>
<li>Drive sustainable, secure Cloud AI product usage to help customers continuously realize quantifiable business outcomes and secure future contract renewals.</li>
</ul></div>Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.</div>

AI Outcome Customer Engineer, Cloud AI Tech GTM

<div>JOB DESCRIPTION 
 
 
At JPMorganChase, you'll be part of a world-class quantitative modeling group that drives innovation in financial engineering, data analytics, and portfolio management.
As a Vice President in the Quantitative Trading &amp; Research team, you'll collaborate with traders, risk managers, and controllers to develop and maintain sophisticated models for fair value measurement across multiple business lines. You should be passionate, curious, and ready to make an impact.
Job responsibilities<ul><li>
Develop mathematical models for the valuation of credit derivatives, structured lending facilities, and illiquid collateral</li><li>
Implement methodologies for model calibration and build analytics to manage model risk appetite</li><li>
Leverage machine learning, AI, and data analytics to enhance valuation methodologies and drive innovation</li><li>
Define methodology for pricing adjustments, model limitations, parameter uncertainty, and liquidity reserves</li><li>
Monitor model performance metrics to ensure models behave as expected over time</li><li>
Design and develop software frameworks for analytics delivery to systems and applications</li><li>
Collaborate with front office trading desks, controllers, and model risk teams to safeguard the firm's balance sheet</li></ul>
Required qualifications, capabilities, and skills<ul><li>
Demonstrated quantitative and problem-solving skills, including research abilities</li><li>
Strong understanding of advanced mathematics in financial modeling (probability theory, stochastic calculus, statistics)</li><li>
Hands-on experience with data analytics, large data sets, and tools for analysis and visualization</li><li>
Proficiency in code design and programming, primarily Python and C++</li><li>
Practical experience with code performance optimization, debugging, and reverse engineering</li><li>
Excellent verbal and written communication and team skills in a multi-location environment</li><li>
Deep understanding of financial products, their valuations, and associated risks</li></ul>
Preferred qualifications, capabilities, and skills<ul><li>
Advanced degree (PhD, MSc or equivalent) in Engineering, Mathematics, Physics, Computer Science, etc.</li><li>
Proven quantitative model development or model validation experience</li><li>
Markets experience and familiarity with trading concepts and terminology</li><li>
Knowledge of options pricing theory, trading algorithms, financial regulations, stochastic processes, partial differential equations, and numerical analysis</li></ul>
ABOUT US
 
 
J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. 
<div><div>We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. 
</div></div> 
 
ABOUT THE TEAM
 
 
J.P. Morgan's Commercial &amp; Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial &amp; Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.</div>

Quantitative Trading & Research - Valuation Models - Vice President

<div>JOB DESCRIPTION 
 
 
Join us to shape the future of financial analytics and technology. You will lead impactful projects that drive advanced data engineering and AI solutions across global teams. We offer opportunities for career growth, collaboration, and technical excellence. Your expertise will help us deliver mission-critical systems and foster a culture of innovation. Be part of a team where your ideas and leadership make a difference. 
As a Lead Data Engineering &amp; AI Technical Initiatives in the Global Analytics team, you will guide technical direction and drive innovation in real-time data processing. You will collaborate with research and trading teams to deliver advanced analytics capabilities and support global business needs. Your role will focus on building robust tools, mentoring team members, and influencing product design. You will help shape our technical standards and foster a diverse, inclusive, and collaborative environment.
Job Responsibilities:<ul><li>
Lead technical initiatives across global analytics teams, providing guidance and direction in a high-velocity environment.</li><li>
Design, build, and optimize real-time data processing pipelines and applications to ensure reliability and performance.</li><li>
Leverage AI technologies to enhance data engineering workflows and automate SDLC processes.</li><li>
Collaborate with research and trading teams to onboard new datasets efficiently and consistently.</li><li>
Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team.</li><li>
Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation.</li><li>
Build and support robust tools and frameworks for quantitative research and production trading.</li><li>
Mentor and develop team members, manage book of work, and drive continuous improvement in SDLC, testing, and coding standards.</li><li>
Influence product design, application functionality, and technical operations to meet evolving business demands.</li><li>
Serve as a subject matter expert in Python, KDB/Q, data engineering, and AI.</li><li>
Champion diversity, inclusion, and collaboration within global teams.</li></ul>
Required Qualifications, Capabilities, and Skills:<ul><li>
Applied experience in software engineering, preferably in large-scale, fast-paced financial environments.</li><li>
Hands-on experience delivering system design, application development, testing, and operational stability for analytics-driven teams.</li><li>
Expertise in Python, KDB, or C++ for real-time data processing, application development, or data engineering.</li><li>
Working knowledge of AI technologies to support data engineering, analytics, or SDLC automation.</li><li>
Demonstrated experience leading effective use of approved AI-assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security.</li><li>
Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices</li><li>
Proficiency in automation and continuous delivery methods; advanced understanding of agile methodologies.</li><li>
Experience leading and mentoring teams in a global, collaborative environment.</li><li>
Ability to tackle complex design and functionality problems independently and drive solutions across distributed teams.</li><li>
Academic background in Computer Science, Computer Engineering, Mathematics, or a related technical field.</li></ul>
Preferred Qualifications, Capabilities, and Skills:<ul><li>
Experience with market data venue and vendor data platforms.</li><li>
AWS experience; practical cloud native/cloud experience is a plus.</li><li>
Experience with Terraform and Kubernetes for managing production environments in public cloud.</li><li>
Knowledge and experience in FIX, Market Data, Analytics, OMS, and equities trading
</li></ul>ABOUT US
 
 
J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. 
<div><div>We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. 
</div></div> 
 
ABOUT THE TEAM
 
 
J.P. Morgan's Commercial &amp; Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial &amp; Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.</div>

Lead Software Engineer - Python and kdb+ / AI data integration, Alt Data & Data Ingestion

<div>JOB DESCRIPTION 
 
 
Be an integral part of a technology team that's constantly pushing the envelope to enhance, build, and deliver top-notch technology products.
As a Python Quant Data Engineer you will help build the technology for Systematic Equities Trading Business. The role would sit in the Equities Trading Data &amp; Analytics technology team. As a Vice President Software Engineer at JPMorgan Chase within the agile technology team, you will play a crucial role in improving, developing, and delivering top-tier technology products in a secure, stable, and scalable manner. Your skills and contributions will have a substantial impact on the business, and your profound technical expertise and problem-solving methodologies will be utilized to address a wide range of challenges across various technologies and applications.
Job Responsibilities<ul><li>
Build and support fast, reliable, globally consistent data pipelines (data ingestion, cleaning, backfilling, storing) for the research and execution systems ensuring data integrity and low-latency access for research and trading.</li><li>
Work with the research and trading teams to onboard new datasets efficiently and consistently for use globally by the business.</li><li>
Design and build robust tools and frameworks to support quantitative research and production trading.</li><li>
Design, build and support research infrastructure (e.g. data access APIs, high performant and scalable simulation environments, feature and strategy signal stores)</li><li>
Build and support research and trading analytics libraries (e.g. markouts, strategy analytics)</li><li>
Serve as a function-wide subject matter expert in one or more areas of focus</li><li>
Actively contributes to the engineering community as an advocate of firmwide frameworks, tools, and practices of the Software Development Life Cycle</li><li>
Influence peers and project decision-makers to consider the use and application of leading-edge technologies</li></ul>
Required Qualifications, Capabilities, And Skills<ul><li>
Design and implementation of front-office systems for quant trading.</li><li>
Hands-on practical experience delivering system design, application development, testing, and operational stability</li><li>
Strong expertise in Python. Comfortable with scientific &amp; dataset libraries such as pandas, numpy.</li><li>
Experience with KDB/Q</li><li>
Knowledge of data pipelines, market data processing and backtesting workflows.</li><li>
Advanced knowledge of software applications and technical processes with considerable in-depth knowledge in one or more technical disciplines</li><li>
Ability to tackle design and functionality problems independently with little to no oversight</li><li>
Proficiency in automation and continuous delivery methods</li><li>
In-depth knowledge of the financial services industry and their IT systems</li><li>
Academic experience in Computer Science, Computer Engineering, Mathematics, or a related technical field</li><li>
Knowledge of machine learning, statistical techniques and related libraries.</li></ul>
Preferred Qualifications, Skills And Capabilities<ul><li>
Strong knowledge and experience in FIX, Market Data, Analytics, OMS, and equities trading in global markets are assets</li><li>
Additional knowledge of Java / C++ is a strong plus.</li><li>
Practical cloud native experience is a plus.</li><li>
Practical cloud experience is a plus.</li></ul>
ABOUT US
 
 
J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. 
<div><div>We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. 
</div></div> 
 
ABOUT THE TEAM
 
 
J.P. Morgan's Commercial &amp; Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial &amp; Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.</div>

Python Quant Data Engineer - Systematic Trading Technology

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