2026 summer internship - third party risk management

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2026 summer internship - third party risk management Jobs in New York

risk analyst

Intuit

<div><h2 class="jobSectionHeader"><b>Overview</b></h2><p>
Intuit is a global platform company that is on a mission to power prosperity worldwide for consumers, small businesses and the self-employed. Across our four leading brands &ndash; Turbo Tax, Credit Karma, QuickBooks, and Mailchimp &ndash; Intuit serves over 100M customers and is one of the few companies in the world to have both a thriving consumer and small business ecosystem. Intuit is known for its innovation track record, customer centricity, and its consistent recognition as a top place to work.</p><p>
Our team owns fraud policies across all the consumer lending and banking product suites &mdash; Onboarding risk, Money in Channels, ACH, RTP, OCT , ATO risk. We're hiring a Staff Analyst, Fraud Policy to own end-to-end policy decisions across these money movement rails: detecting emerging attacks, sizing the exposure, designing controls in our real-time decisioning stack, and defending the tradeoff between loss and member experience to leadership.</p><p>
This is a high-leverage seat. You'll work directly with fraud strategy, data science, engineering, dispute ops, and compliance to keep the ecosystem secure without breaking the experience for legitimate members ,utilizing cutting-edge AI technology to detect and prevent fraud while minimizing impact on good customers.</p><p><b><br>
Responsibilities</b></p><p>
This role will involve developing fraud risk policies for our innovative consumer lending and banking products, with a focus on fraud detection and prevention for new money movement products and features. You will create end-to-end risk policies and drive alignment with cross-functional stakeholders. Additionally, you will manage fraud risk aspects of business initiatives and respond to fraud-related events and demands. Expertise in fraud risk, financial analytics, and innovative risk strategies is required to enable Intuit's growth, expansion, profitability, and trust-enabled consumer experiences.</p><ul><li><p>
Use advanced analytical techniques to mine massive scale account and transactional data to build/optimize fraud risk strategies/policies, and translate into actionable business plans</p></li><li><p>
Lead the full cycle of risk strategy/policy work, including identify opportunities and action plan, develop and test policy, launch policy to production and monitor the performance</p></li><li><p>
Build subject matter expertise in different types of risks among money movement offerings to optimize the balance between risk mitigation and growth in the Intuit ecosystem</p></li><li><p>
Team up with our data scientist, risk operations, product, data engineering, analytics teams closely to drive customer segmentations, develop innovative risk strategies, and perform portfolio analyses</p></li><li><p>
Test into and recommend 3rd party data providers to solve individual stolen identity, ATO and other types of exposure risk</p></li><li><p>
Design, implement, and monitor testing to explore new methodologies and estimate key metrics for our risk strategies</p></li><li><p>
 Must have good judgement with the ability to think creatively and strategically</p></li></ul><p><b><br>
Qualifications</b></p><ul><li><p>
Strong business acumen and exceptional analytical ability, with 5+ years of relevant experience and bachelors degree in quantitative fields such as Statistics, Mathematics, Finance, Data Science; or MS/PhD with 2+ years of relevant working experience.</p></li><li><p><b>
Preferred experience with Fintech, Payments, NeoBanking, Crypto, or Money Movement space.</b></p></li><li><p>
Working knowledge of the fundamentals of risk policy for consumer loans and line of credit including fraud detection and identity checks</p></li><li><p>
Demonstrated experience in designing experiments and using data-driven insights to solve business problems.</p></li><li><p>
Proficient in statistical analysis tools like SQL, Excel, Python, R, and data visualization tools. Familiarity with big data technologies such as Hive, Hadoop, and related concepts preferred.</p></li><li><p>
Polished partnership and communication skills, with the ability to interact cross-functionally with both business and technical partners. You tell stories with data to influence stakeholders and build consensus for plans of action.</p></li><li><p>
You thrive in a fast-paced environment, and are responsive and decisive during periods of peak fraud activity.</p></li><li><p>
Passion for analyzing data and an insatiable curiosity to understand complex business issues and proactively looking for business opportunities and drive new innovations</p></li></ul><p><br>
Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit&reg;: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is:</p><p></p><p><br>
Mountain View: $176,500 - $238,500</p><p>
New York City: $168,500 - $228,000</p></div>

Staff Fraud and Risk Analyst - Fintech

<div><h2 class="jobSectionHeader"><b>Overview</b></h2><p>
One out of every two small businesses fail within their first five years, most often due to running out of cash. Intuit QuickBooks is on a mission to provide small businesses access to all the tools they need to manage cashflow. We leverage the rich data inside QuickBooks to enable super-fast payments, payroll, and access to capital. With QuickBooks, America&rsquo;s entrepreneurs never again have to worry about not making payroll or saying no to a business opportunity. That&rsquo;s how we power prosperity around the world.</p><p></p><p><br>
We are seeking a Senior Business Data Analyst as part of our growing Risk Analytics and Insight team within Intuit&rsquo;s Global Business &amp; Self-Employed Group (GBSG). The successful analyst will work across functions (Fraud &amp; Risk Operations, Data Science, Compliance, Marketing, Product, Finance, etc.) and use data to drive insights which help achieve Intuit Small Business Group&rsquo;s short and long-term business outcomes.</p><p></p><p><br>
This role will focus on collaborating with a large Risk Operations team and Risk policy analysts to evaluate existing risk policies for fraud, financial and compliance risk mitigation, evaluating existing manual risk case review processes to drive operational efficiency and find ways to scale our internal processes for business and customer growth. Responsibilities will primarily focus on measuring effectiveness and efficiency of our risk policies and risk operational processes related to agent/ manual case reviews. Successful candidates for this role will leverage risk expertise, financial analytics and innovative risk strategies to enable Intuit&rsquo;s SMB growth and expansion, achieve optimal profitability, while keeping operational costs low and enhance trust-related merchant and consumer experience.</p><p><b><br>
Responsibilities</b></p><ul><li><p>
Ability to analyze &amp; research large data sets, develop insights and translate insights into business opportunities/requirements.</p></li><li><p>
Develop compelling visualizations for story telling that crystallize business opportunities for stakeholders and leaders to make timely decisions.</p></li><li><p>
Understand various aspects of Risk Operations in detail and build comprehensive KPIs to monitor performance.</p></li><li><p>
Design, implement, and monitor experiments to explore new methodologies and estimate key metrics for risk operational processes effectiveness and efficiency.</p></li><li><p>
Ability to perform quantitative and business trade off decisions to improve risk operation processes to mitigate Risk in payments, payroll and capital loan products.</p></li><li><p>
Effectively able to work with product and technology teams to build risk solutions and collaborate with risk operations to operationalize solutions and get feedback.</p></li><li><p>
Ability to work with data engineers and technology teams to enhance/ enrich our data ecosystem/ risk data marts.</p></li><li><p>
Deliver ideas and insights as you collaborate with partner teams, such as engineering, data science &amp; operations to build risk detection systems that drive overall efficiency, customer experience and agent investigation capabilities.</p></li><li><p>
In addition, the candidate should bring a high level of enthusiasm to the projects and the ability to organize and motivate large groups. This includes taking initiative, ownership and responsibility for a project</p></li><li><p>
Team player with experience working on cross functional. Must have good judgement with the ability to think creatively and strategically while working on multiple key projects simultaneously.</p></li></ul><p><b><br>
Qualifications</b></p><ul><li><p>
Strong analytical ability and proven business acumen with at least 5 years of relevant experience. Experience in Financial Services or FinTech highly preferred.</p></li><li><div>
Advanced SQL, Python and coding skills to perform data segmentation and aggregation from scratch.</div></li><li><div>
Good working experience with data analytics and visualization tools like Tableau and Quicksight</div></li><li><div>
Excellent written and verbal communication skills.</div></li><li><div>
High degree of accountability, organization and empathy.</div></li><li><div>
Experience working with Key Performance Indicator (KPI or OKR) metrics.</div></li><li><div>
Passion for analyzing data and an insatiable curiosity to understand complex business issues and proactively looking for business opportunities and drive new innovations</div></li><li><div>
Ability to tell stories with data, identify key insights and support data-driven decision making for our stakeholders</div></li><li><div>
Able to work in a fast-paced working environment, multitask, balancing short &amp; long term strategic implications to meet or exceed business objectives</div></li><li><div>
Bachelor&rsquo;s Degree in Economics, Science, Math or other Quantitative Field, or commensurate experience. An MBA or graduate degree in a related field is a plus or equivalent experience.</div></li></ul><p><br>
Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit&reg;: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is:</p><p></p><p><br>
Mountain View $150,500 - $204,000</p><p>
New York City $140,500 - $190,000</p></div>

Principal Fraud and Risk Analyst - Fintech

Crédit Agricole CIB

<div>
 <p>
  <strong>
   Team and position
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  Credit Agricole is among world top 10 banking groups. Our NY based Leveraged Finance team is directly responsible for origination and execution of LBOs with leading Private Equity Funds in North America, as well as financings for leveraged (non-investment grade) corporates, across loans and HY bonds. In addition, the team is also in charge of event driven financings (M&amp;A and IPO related) for Investment Grade clients, and of leveraged / structured financing transactions in the TMT sector, including the current wave of infrastructure flavored deals (towercos, data centers, fibercos, GPU Financings) with Infrastructure Funds, across North America and Latam. It is referred to internally as the &ldquo;LATFG&rdquo; team (Leveraged, Acquisition &amp; TMT Finance).
 </p>
 <p>
  <br/>
 </p>
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  Building on its recent successes, the team is expanding to support its strong growth ambitions. In order to address the increasing volumes of credit and reporting management work generated by our expanding loan portfolio, we are setting up a portfolio management (PFM) team.
 </p>
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  We are opening a Portfolio Management analyst position. The analyst will report to the Director in charge of Portfolio Management, with regular interaction with the origination part of LATFG team.
 </p>
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   Key Responsibilities
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  1) Credit monitoring of our loan portfolio:
 </p>
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  Contribute to the ongoing credit monitoring work for part of the leveraged finance and TMT loan portfolio (current volume of about 75 deals): write up of annual reviews, credit papers in relation to
 </p>
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  waivers and amendments, quarterly write ups for distressed loans. In close coordination with
 </p>
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  respective deal/client teams.
 </p>
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  <li>
   Proactively flag to client teams any early warning signals of credit deterioration, concerns, or ideas for commercial opportunities
  </li>
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   Ensure timely propagation of internal risk rating decisions within the internal IT systems.
  </li>
  <li>
   Occasionally represent the team in the various credit committees (NY credit committee, CLF credit committee, CRC) and monitoring committees (Quarterly committees for underperforming loans or loans under watchlist &ldquo;SARs&rdquo; and &ldquo;SACs&rdquo;), underperforming or under watch loans
  </li>
  <li>
   Coordinate with CLF Loan Operations team to monitor evolution of the portfolio (increases or reductions via amortization, prepayments, secondary trades etc)
  </li>
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   Coordinate with CLF Loan Operations and respective deal/client teams to ensure authorizations recorded in internal systems are accurate and up to date.
  </li>
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   Maintain close coordination on all of the above tasks with respective LATFG client teams. Interact with clients whenever necessary to clarify credit related questions, in coordination with the LATFG client team.
  </li>
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   Review quarterly or annual information provided by client, connect to lender or investor calls organized by clients and relay summaries of meaningful information to LATFG team manager and respective LATFG client team.
  </li>
  <li>
   Depending on deal flow, there will also be occasional opportunities to get involved in live, new deals as part of the origination deal team.
  </li>
 </ul>
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  <br/>
 </p>
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  2) Contribute to Internal and Regulatory Reporting:
 </p>
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   Collect data and under PFM Director, assist with the regular requests for reporting from our
  </li>
 </ul>
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  internal stakeholders (HO business line, COO teams, RPC): monthly anomaly reports, monthly
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  LevFin excel pipeline, quarterly portfolio review files, &ldquo;deals world&rdquo; database for LBOs, etc
 </p>
 <ul>
  <li>
   Contribute to recurring, ad hoc, and annual audits (NY annual and quarterly Compliance Loan Review, ad hoc NY portfolio reviews, Internal Audit &ldquo;Inspection Generale&rdquo;, add hoc CUSO reviews)
  </li>
  <li>
   Assist team manager and respective deal teams in ensuring that the CLF pipeline tool (&ldquo;Diamond&rdquo;) is up to date.
  </li>
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   Contribute to occasional ad hoc information requests when and as required
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   Assist LATFG manager with periodic estimate of landing vs budget and other planning tasks
  </li>
 </ul>
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  <strong>
   Candidate background / experience
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   Ideally 1-2 years experience in either a leveraged finance environment (portfolio management, credit analyst or origination and execution), or a credit risk / credit underwriting and monitoring function.
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   Relevant academic background (BA/BS degree with economics/finance major coursework, ideally Master's degree &ndash; Msc Finance or MBA).
  </li>
 </ul>
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  <strong>
   Skills
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  <li>
   Strong quantitative and qualitative analytical skills
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   Prior experience in financial analysis, cash flow modeling experience will be a plus
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   Reliability, attention to detail and quality outputs,
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   Good organizational skills: ability to keep track of deadlines, to organize its own work
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   Good communication and interpersonal skills (ability to communicate seamlessly with various front office deal teams, and capacity to interact convincingly and forcefully with internal partners, in particular with risk &amp; senior representatives from business line or coverage)
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   MS Office suite proficiency
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   Fluency in a second language (in particular French, Portuguese, Spanish) is a plus.
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 </ul>
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 </p>
</div>


Leveraged, Acquisition & TMT Finance Americas – Portfolio Management - Analyst

Block

<div><div><p>It all started with an idea at Block in 2013. Initially built to take the pain out of peer-to-peer payments, Cash App has gone from a simple product with a single purpose to a dynamic ecosystem, developing unique financial products, including Afterpay/Clearpay, to provide a better way to send, spend, invest, borrow and save to our 50+ million monthly active customers. We want to redefine the world&rsquo;s relationship with money to make it more relatable, instantly available, and universally accessible.<br>
<br>
Today, Cash App has thousands of employees working globally across office and remote locations, with a culture geared toward innovation, collaboration and impact. We&rsquo;ve been a distributed team since day one, and many of our roles can be done remotely from the countries where Cash App operates. No matter the location, we tailor our experience to ensure our employees are creative, productive, and happy.</p>
<h4 class="jobSectionHeader"><b>
The Role</b></h4>
<p>
As a Senior Data Scientist focusing on AI &amp; Model Risk, you will lead and coordinate AI risk assessments for Generative AI and Large Language Model use cases, applying Model Risk Management principles to ensure safe, compliant, and responsible deployment. This role sits at the intersection of Model Risk Management and AI Governance, with close coordination with Information Security, Compliance, and Legal stakeholders. You will tackle complex and ambiguous challenges, applying sound judgment to select appropriate methodologies and drive risk-based decisions with minimal day-to-day oversight. You will partner with senior stakeholders across Risk, Engineering, Legal, Compliance, and Information Security to drive assessment outcomes and continuously strengthen governance practice.</p>
<p>
This role puts you at the center of an innovative team within SFS that's actively shaping how AI risk management works in practice; Operationalizing principles into processes that enable safe, effective AI deployment. If you're excited by the challenge of shaping how AI gets deployed safely and responsibly in financial services, this is the place to be.</p>
<h4 class="jobSectionHeader"><b>
You Will</b></h4>
<ul><li>Lead end-to-end AI Risk Assessments for generative AI and LLM use cases across the Bank; Embedding in Block's enterprise-wide GenAI review process, coordinating cross-functional SMEs (Legal, Compliance, InfoSec, Data Governance, MRM, ERM, BRC, TPRM, Financial Crimes), and managing timelines to ensure reviews are completed within SLA.</li>
<li>Review AI system design and documentation; Including retrieval sources, assumptions, limitations, fallback plans, guardrail configurations, and change management procedures &mdash; across banking use cases such as fraud detection, BSA/AML compliance, credit decisioning, and customer-facing applications, ensuring governance controls are commensurate with each use case's risk profile.</li>
<li>Assess pre-deployment testing for adequacy inclusive of output integrity, hallucination detection, boundary and edge case testing, ethical and safety guardrails, bias testing, A/B testing, volume testing, and UAT &mdash; designing and conducting independent testing as needed.</li>
<li>Evaluate ongoing monitoring plans for comprehensiveness - including accuracy, hallucination rates, drift detection, sensitive data controls, reliability metrics, CSAT, acceptable performance ranges, and documented remediation procedures.</li>
<li>Develop and maintain templates, tools, and procedures to support the effectiveness and scalability of the AI Risk Governance Program.</li>
<li>Monitor the evolving regulatory landscape for AI in banking &mdash; including FFIEC IT Examination Handbook standards, FDIC Financial Institution Letters, interagency statements, and the anticipated RFI on AI model risk management referenced in SR 26-2 &mdash; and incorporate emerging guidance into the AI risk governance program; support SFS's response to regulatory inquiries as needed.</li>
</ul><h4 class="jobSectionHeader"><b>You Have</b></h4>
<ul><li>A minimum of 5 years of related experience with a Bachelor&rsquo;s degree in a quantitative field; or 3 years and a Master&rsquo;s degree; or a PhD without experience; or equivalent work experience in risk management, model risk management, or AI risk management</li>
<li>Proficiency in Python or similar languages for evaluating AI system behavior, writing test scripts, or analyzing model outputs</li>
<li>Strong understanding of generative AI architectures; Including LLMs, transformer models, RAG systems, and agentic AI, plus hands-on experience interacting with and critically evaluating these systems, sufficient to assess design decisions, output quality, and limitations</li>
<li>Understanding of interagency model risk management principles, including SR 26-2</li>
<li>Knowledge of AI testing methodologies, ex. functional testing, bias testing, adversarial testing, and performance monitoring plus familiarity with data privacy and security principles (encryption, access controls, data classification)</li>
<li>Excellent written and verbal communication and the ability to translate complex technical AI concepts for non-technical stakeholders, senior management, and regulators</li>
<li>Strong analytical judgment with the ability to manage multiple concurrent assessments, prioritize effectively, and drive risk-based decisions with minimal day-to-day oversight</li>
</ul><h4 class="jobSectionHeader"><b>Nice to Have</b></h4>
<ul><li>Master's degree in AI/ML, Cybersecurity, Data Science, or related field</li>
<li>Familiarity with AI governance frameworks (NIST AI RMF, ISO 42001, or equivalent) and the FFIEC IT Examination Handbooks</li>
<li>Experience with AI governance tools and platforms (model registries, monitoring dashboards, risk scoring systems)</li>
<li>Experience with explainability tools (SHAP, LIME, attention visualization)</li>
<li>Certifications: CRISC, PRM, FRM, or AI-specific certifications such as NIST AI RMF practitioner or ISO 42001 Lead Implementer</li>
<li>Prior experience in a second-line-of-defense or internal audit role at a bank or financial institution</li>
<li>Experience developing AI risk governance frameworks in environments where prescriptive regulatory guidance does not yet exist</li>
</ul>
<p><b>Technologies We Use and Teach</b></p>
<p>
Block is investing heavily in AI, and our workflows are evolving accordingly. This creates a rare opportunity to work with emerging systems as they take shape, both leveraging them in practice and influencing how they are designed. The team is at the forefront of defining risk governance in an AI-first environment, with the goal of setting new industry standards.</p>
<p>
We're working to build a more inclusive economy where our customers have equal access to opportunity, and we strive to live by these same values in building our workplace. Block is an equal opportunity employer evaluating all employees and job applicants without regard to identity or any legally protected class. We will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and &quot;fair chance&quot; ordinances.</p>
<p>
We believe in being fair, and are committed to an inclusive interview experience, including providing reasonable accommodations to disabled applicants throughout the recruitment process. We encourage applicants to share any needed accommodations with their recruiter, who will treat these requests as confidentially as possible.</p>
<p>
While there is no specific deadline to apply for this role, U.S. roles are typically open for an average of 55 days before being filled by a successful candidate. Please refer to the date listed at the top of this job page for when this role was first posted.</p><br>
<div>
<div><p>Block takes a market-based approach to pay, and pay may vary depending on your location. U.S. locations are categorized into one of four zones based on a cost of labor index for that geographic area. The successful candidate&rsquo;s starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. These ranges may be modified in the future.</p><br>
<p></p>
</div>
<div>Zone A: $163,600&mdash;$225,000 USD</div>
</div><div><div>Zone B: $155,400&mdash;$213,700 USD</div>
</div><div><div>Zone C: $147,300&mdash;$202,500 USD</div>
</div><div><div>Zone D: $139,000&mdash;$191,200 USD</div>
</div><div><p><b>
Application Guidelines</b></p>
<p>
Candidates may submit up to 9 active applications within a 60-day period. Reapplications to the same role are accepted 90 days after a previous application has been reviewed.</p>
<p><b>
Use of AI in Our Hiring Process</b></p>
<p>
We may use automated AI tools to evaluate job applications for efficiency and consistency. These tools comply with local regulations, including bias audits, and we handle all personal data in accordance with state and local privacy laws.</p>
<p>
Contact us here with hiring practice or data usage questions.</p>
<p><i>
Every benefit we offer is designed with one goal: empowering you to do the best work of your career while building the life you want. Remote work, medical insurance, flexible time off, retirement savings plans, and modern family planning are just some of our offering.</i></p>
<p><i>
Block, Inc. (NYSE: XYZ) builds technology to increase access to the global economy. Each of our brands unlocks different aspects of the economy for more people. </i><b><i>Square</i></b><i> makes commerce and financial services accessible to sellers. </i><b><i>Cash App</i></b><i> is the easy way to spend, send, and store money. </i><b><i>Afterpay</i></b><i> is transforming the way customers manage their spending over time. </i><b><i>TIDAL</i></b><i> is a music platform that empowers artists to thrive as entrepreneurs. </i><b><i>Bitkey</i></b><i> is a simple self-custody wallet built for bitcoin. </i><b><i>Proto</i></b><i> is a suite of bitcoin mining products and services. Together, we&rsquo;re helping build a financial system that is open to everyone.</i></p></div></div></div><p></p>

Senior Data Scientist, AI & Model Risk

JPMorganChase

<div><b>JOB DESCRIPTION</b><br>
<br>
<br>
<p>The Quantitative Trading &amp; Research Portfolio team specializes in building data-driven, AI-powered tools that empower traders to act quickly and manage risk more effectively. Operating at the intersection of machine learning, real-time data analysis, and quantitative finance, the team transforms complex data into actionable insights with immediate impact on trading and risk management.</p>
<p><b>Job Summary:</b></p>
<p>As an Associate in the Quantitative Trading &amp; Research Portfolio team Data Strategist, you will build data driven, AI-powered tools to help our traders act faster and manage risk smarter. You'll work at the intersection of machine learning, real-time data analysis and quantitative finance to turn complex data into clear, actionable insights. Your work will have immediate, visible impact on how we trade and manage risk.</p>
<p><b>Job responsibilities:</b></p>
<ul><li>Design, build, and deploy AI agentic workflows to enhance risk monitoring, signal generation, and control processes for the trading desk.</li>
<li>Develop real-time data pipelines integrating market and reference data to power intraday risk analytics and scenario analysis.</li>
<li>Implement machine learning models for risk forecasting, anomaly detection, market pattern identification and liquidity estimation.</li>
<li>Create intuitive applications and dashboards that deliver actionable risk insights to traders and risk partners.</li>
<li>Collaborate with traders, quantitative researchers, risk teams, and technologists to translate business needs into resilient, well-documented solutions.</li>
</ul><p></p><p><b>Required qualifications, capabilities, and skills:</b></p>
<ul><li><p>Advanced degree in a quantitative field (Computer Science, Engineering, Mathematics, Physics, Statistics, or Financial Engineering), or 3 years of experience in quantitative research, data analytics, or a related technical role.</p></li>
<li>Hands-on experience in data analytics and machine learning; exposure to multi-agent AI workflow is a plus.</li>
<li>Strong programming skills with proficiency in numerical and machine learning libraries.</li>
<li>Strong analytical and problem-solving skills, with the ability to communicate complex ideas clearly to business partners.</li>
</ul><p></p><p><b>Preferred qualifications, capabilities, and skills:</b></p>
<ul><li>Familiarity with trading concepts, hedging, and risk measures.</li>
<li>Experience with real-time systems, event streaming, or time-series data.</li>
<li>Experience with UI design and visualization tools.</li>
</ul><b>ABOUT US</b><br>
<br>
<br>
<div><div>JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
</div><p></p><div><p>We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
</p><div><p>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.</p>
<p>JPMorgan Chase &amp; Co. is an Equal Opportunity Employer, including Disability/Veterans</p><br>
</div></div></div><br>
<br>
<b>ABOUT THE TEAM</b>
<br>
<br>
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 - Credit Portfolio - Associate

Principal Financial Group

<div>What You'll Do:
<div>
The Senior Portfolio Analyst role within Principal Asset Allocation&rsquo;s (PAA) Portfolio Management team ($250 billion in assets) is responsible for the day-to-day research and implementation of open-architecture, multi-manager equity strategies. This role supports core-satellite strategies in portfolio construction and management decisions across six active equity strategies through quantitative research and analysis of approximately $20 billion in AUM.</div><p></p><p><b><br>
What </b><b>You&rsquo;ll</b><b> Do</b></p><ul><li>
Lead research efforts focused on developing, enhancing, and maintaining systematic indicators to inform portfolio management decisions, including active-passive allocations, manager allocations, and portfolio construction across core-satellite portfolios</li><li>
Enhance active-passive implementation frameworks to determine the optimal use of active managers, passive exposures, and blended structures based on market conditions, macro trends, and asset class dynamics</li><li>
Design and maintain systematic risk mitigation signals, including mean reversion and stop-loss frameworks, to guide tactical positioning</li><li>
Build, maintain, and enhance quantitative models and analytical frameworks used for portfolio optimization, signal generation, scenario analysis, and performance attribution</li><li>
Monitor portfolio risk exposures, including sector, regional, factor, style, and macroeconomic risks, ensuring alignment with investment objectives and risk tolerances</li><li>
Conduct research on market structure, behavioral finance, factor dynamics, and systematic investment strategies to support portfolio outcomes</li><li>
Support portfolio management decision-making through analysis that informs portfolio allocation recommendations</li></ul>
Who You Are:
<ul><li>Bachelor's degree with an emphasis in finance, economics, accounting, or another technical field</li><li>
8+ years related experience that includes quantitative research, risk management, risk analysis</li><li>
Experience working with equities or equity portfolios, including exposure to portfolio construction, manager selection, or equity market analysis</li><li>
Strong understanding of portfolio construction, asset allocation, manager selection and risk management</li><li>
Programming experience (Python, R, C++, SQL)</li><li>
Experience with performance or risk-based platforms such as Factset, Barra, Bloomberg, Morningstar</li></ul><div><b><br>
Skills </b><b>That Will Help You Stand Out</b></div><ul><li>
Advanced training in mathematics, statistics, computer science, or another highly quantitative field</li><li>
Demonstrates strong analytical and problem-solving skills with the ability to synthesize large datasets into actionable insights and recommendations</li><li>
Experience applying artificial intelligence or machine learning techniques to portfolio construction, investment research, or signal development</li><li>
Excellent ability to communicate advanced concepts in a concise and logical manner</li><li>
Strong attention to detail, organizational skills, and the ability to manage multiple tasks and requests from various stakeholders in a timely and efficient manner</li></ul>
Salary Range Information: Salary ranges below reflect targeted base salaries. Non-sales positions have the opportunity to participate in a bonus program. Sales positions are eligible for sales incentives, and in some instances a bonus plan, whereby total compensation may far exceed base salary depending on individual performance. Actual compensation for all roles will be based upon geographic location, work experience, education, licensure requirements and/or skill level and will be finalized at the time of offer. Salary Range: $157000 - $213000 / year Salary Details:
<div>
The base salary range for this role is <b>$157,000 - $213,000 </b>as indicated above. Final compensation will be determined based on skills, experience, and alignment with the role&rsquo;s responsibilities.</div><div></div><div><br>
In addition to base pay, this role participates in an <b>annual profit share bonus plan</b>.</div>
Time Off Program: Flexible Time Off (FTO) is provided to salaried (exempt) employees and provides the opportunity to take time away from the office with pay for vacation, personal or short-term illness. Employees don&rsquo;t accrue a bank of time off under FTO and there is no set number of days provided. Pension Eligible: No Additional Information:
<h2 class="jobSectionHeader"><b>Location(s)</b></h2><div>
We&rsquo;re open to considering remote and hybrid talent. Locations for hybrid talent include New York City, Raleigh, Des Moines or Seattle.</div><h2 class="jobSectionHeader"><b>
Work Authorization/Sponsorship
</b></h2><div>At this time, we're not considering applicants that need any type of immigration sponsorship (additional work authorization or permanent work authorization) now or in the future to work in the United States. This includes, but IS NOT LIMITED TO: F1-OPT, F1-CPT, H-1B, TN, L-1, J-1, etc. For additional information around work authorization needs please use the following links.</div><h2 class="jobSectionHeader"><b>
Nonimmigrant Workers</b><b> and </b><b>Green Card for Employment-Based Immigrants</b></h2><h2 class="jobSectionHeader"><b>
Investment Code of Ethics
</b></h2><div>For Principal Asset Management positions, you&rsquo;ll need to follow an Investment Code of Ethics related to personal and business conduct as well as personal trading activities for you and members of your household. These same requirements may also apply to other positions across the organization.</div><h2 class="jobSectionHeader"><b>
Experience Principal
</b></h2><div>At Principal, we value connecting on both a personal and professional level. Together, we&rsquo;re imagining a more purpose-led future for financial services &ndash; and that starts with you. Our success depends on the unique experiences, backgrounds, and talents of our employees. And we support our employees the same way we support our customers: with comprehensive, competitive benefit offerings crafted to protect their physical, financial, and social well-being. Check out our careers site to learn more about our purpose, values and benefits.</div><h2 class="jobSectionHeader"><b>
Principal is an Equal Opportunity Employer
</b></h2><div>All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.</div>
 Posting Window: We will accept applications for 3 full days following the Original Posting Date, after which the posting may remain open or be removed based upon applications received. If we choose to post the job again, we will accept additional applications for at least 1 full day following the Most Recently Posted Date. Please submit applications in a timely manner as there is no guarantee the posting will be available beyond the applicable deadline. Date First Posted (TTF): 6/3/2026 Latest Post Date: Careers - US: 6/3/2026</div>

Senior Portfolio Analyst, Asset Allocation

Cerberus Capital Management

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 <p>
  <strong>
   About Cerberus:
  </strong>
 </p>
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  Founded in 1992, Cerberus is a global leader in alternative investing with approximately $70 billion in assets across complementary credit, private equity, and real estate strategies. We invest across the capital structure where our integrated investment platforms and proprietary operating capabilities create an edge to improve performance and drive long-term value. Our tenured teams have experience working collaboratively across asset classes, sectors, and geographies to seek strong risk-adjusted returns for our investors. For more information about our people and platforms, visit us at www.cerberus.com.
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  <strong>
   Job Purpose:
  </strong>
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  Cerberus Real Estate Capital Management is seeking an Analyst to join its North American Real Estate team in New York, NY. This is an exciting opportunity for a highly motivated, detail-oriented individual to join a dynamic team with a primary focus on opportunistic real estate transactions.
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  <br/>
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  As an Analyst, you will assist with asset management of the existing portfolio, fundraising &amp; investor management, and other internal reporting requirements. You will support the business through the creation and management of asset management materials, investor requests, and maintaining internal reports.
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  The role requires good industry expertise and real estate knowledge, excellent attention to detail and strong communication skills. The successful candidate will work closely with multiple business areas, external parties, and other stakeholders to assist managing the portfolio.
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   Responsibilities:
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   Real Estate Asset Management / Acquisitions
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 <ul>
  <li>
   Support ongoing asset management activities across a diversified portfolio of direct real estate investments spanning multiple asset types and geographies
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   Assist in monitoring asset-level performance, including financial analysis, variance reporting, operating budget reviews, and leasing updates
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   Coordinate with property managers, operating partners, and third-party advisors to ensure execution of business plans
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   Prepare and maintain investment tracking materials, including hold/sell analyses, capital expenditure reviews, and disposition strategy updates
  </li>
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   Fundraising &amp; Investor Management
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   Support LP communications, including investor updates and ad hoc investor inquiries
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   Assist in the preparation of materials for existing and prospective limited partners, including DDQs, pitchbooks, and fund marketing materials
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   Coordinate with the Investor Relations and Capital Formation teams to support ongoing fundraising initiatives for Cerberus Real Estate funds
  </li>
 </ul>
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   Internal Reporting
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   Prepare and maintain internal investment committee materials and asset management reports
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   Assist in the production of quarterly and annual portfolio-level reporting for senior management and fund stakeholders
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   Maintain internal databases and tracking systems related to investment activity, asset performance, and fund metrics
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  <strong>
   Requirements:
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  <li>
   Bachelor's degree from an accredited institution, with a preference for Finance, Economics, Real Estate or a related field
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   Up to 2 years of relevant experience in real estate private equity, private funds investor relations, investment banking, asset management, capital markets or a related field
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   Preference for real estate industry experience and familiarity with fund structures
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   Highly proficient in Microsoft Excel and PowerPoint, Argus is a plus; proficiency with AI tools and emerging technology to drive efficiency and enhance deliverables such as CoPilot, Claude or Chat GPT
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   Proven ability to conduct rigorous quantitative and qualitative analysis; strong attention to detail
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   Excellent written and verbal communication skills; ability to synthesize complex information into clear, concise materials
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   Collaborative, proactive, and able to manage multiple priorities in a fast-paced environment. Ability to develop relationships and build credibility with different stakeholders across the firm
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   Strong Work Ethic: Self-starter with a willingness to learn and apply knowledge
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   Genuine interest in real estate markets, private equity, and capital markets
  </li>
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  The base salary for this position is expected to be between $85,000.00 and $100,000.00. The base salary offered to the chosen candidate will be commensurate with a candidate&rsquo;s relevant experience and other qualifications for the position, as determined by the Company in its sole discretion. In addition to base salary, this position is eligible for an annual discretionary bonus, which is often a meaningful portion of the compensation package, and a robust benefits package.
 </p>
</div>


Real Estate Investment & Portfolio Analyst

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