Investment Risk & Analytics - Quant Modeling Senior Associate

JPMorgan Chase & Co. • Columbus, OH

1d

About The Position

Bring your Expertise to JPMorgan Chase. As part of Risk Management and
Compliance, you are at the center of keeping JPMorgan Chase strong and
resilient. You help the firm grow its business in a responsible way by
anticipating new and emerging risks, and using your expert judgement to solve
real-world challenges that impact our company, customers and communities. Our
culture in Risk Management and Compliance is all about thinking outside the box,
challenging the status quo and striving to be best-in-class.

As a part of the Investment Risk & Analytics team, you are at the center of
keeping JPMorgan Chase strong and resilient. Managed Strategies included
JPMorgan’s own proprietary products and third-party funds to include registered
funds, exchange traded notes (ETNs), exchange traded funds (ETFs), separately
managed accounts, hedge funds, and private equity and real estate funds, etc.

We are looking for individuals who can partner with senior members of our team
to oversee business activities, models and methodologies related to investment
risk. with an emphasis on developing new tools and methodologies that will aid
in risk quantification.

Requirements

• 5+ years of hands-on experience in data science, machine learning, or AI.
• Bachelors/Master/PhD degree in Computer Science / Data Science / Mathematics / Statistics
• Demonstrated experience with generative AI technologies such as transformers, large language models, or diffusion models.
• Knowledge of key concepts in Statistics and Mathematics such as Statistical methods for Machine learning (e.g., ensemble methods, NLP, time-series), Probability Theory and Linear Algebra.
• Experience with Machine Learning & Deep Learning concepts including data representations, neural network architectures, custom loss functions.
• Foundational mathematical concepts, including continuity, differentiability, Taylor formulas, differential equations, integration, measure theory, linear algebra, discrete and continuous probabilities, Markov chains, regression.
• Have experience with investment products including fixed income, equity, and mutual funds.
• Programming skills in Python and knowledge of common numerical and machine-learning packages (like NumPy, scikit-learn, pandas, PyTorch, LangChain, LangGraph etc.).
• Experience with data visualization tools such as Tableau, Power BI, or similar.
• Logical thought process, ability to scope out an open-ended problem into data driven solution.
• Strong quantitative and analytical skills and ability to work with a global team.

Nice To Haves

• Relevant STEM field is highly preferred.

Responsibilities

• Design, develop, and deploy advanced AI/ML models to drive insights, automate processes, and support strategic decisions.
• Lead and collaborate on the end-to-end lifecycle of AI/ML initiatives, including data engineering, model development, validation, deployment, and monitoring.
• Conduct risk modeling, scenario analysis, and business impact evaluations to ensure robust, ethical, and goal-aligned solutions.
• Experiment with advanced techniques like deep learning, generative AI, and reinforcement learning to solve business challenges.
• Apply advanced statistics, econometrics, and mathematical skills for modeling and analysis.
• Work with Technology teams on model testing, implementation, and production.
• Mentor junior data scientists and foster a collaborative culture.
• Present modeling results to business and technical stakeholders in written, visual, and oral formats.
• Stay updated on AI and machine learning trends and assess their organizational impact.
• Contribute to process innovation and team strategy within the asset-class group.
• Represent risk analytics in governance forums, risk committees, and audits, and partner with risk groups to address multiple risk impacts.

Benefits

• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees