Risk Management - Wholesale Quantitative Research, Associate

JPMorganChase; Jersey City (NJ); On-site; USD 120,000 - 190,000; Full time

Job summary

JPMorganChase is seeking a Quantitative Researcher to advance wholesale credit risk modeling and governance. You will translate business needs into scalable model solutions, partner with credit risk, finance, and technology teams, and strengthen model methodology and documentation for key regulatory use cases.

You will present model approaches and results to senior stakeholders and model governance forums, ensuring alignment with risk controls and best practices in a fast‑paced environment.

Qualifications

• Master's degree or higher in a quantitative discipline such as mathematics, physics, statistics, economics, finance or CS.
• 3+ years of experience developing statistical/economic models in finance or risk context.
• 3+ years applying regression and multivariate techniques to real data.
• 2+ years of Python for data analysis and modeling (pandas/NumPy).
• 2+ years of ML techniques in modeling or analytics workflows.
• Experience with large datasets and repeatable data pipelines.
• Ability to explain quantitative concepts to non-technical stakeholders.

Responsibilities

• Develop wholesale credit risk models for portfolios like CRE and structured products.
• Build credit loss models for CECL estimation and stress testing models for CCAR.
• Create scorecards and modeling approaches to measure credit risk for CRE clients.
• Assess model performance, limitations, and suitability for risk governance.
• Design efficient numerical methods for model estimation, calibration, and validation.
• Implement high-performance computing to improve runtime and scalability.
• Integrate model outputs into downstream systems and analytics frameworks.
• Collaborate with credit, portfolio, finance, and tech teams to deliver solutions.
• Present methodologies and results to governance committees and regulators.

Skills

Python

Statistical modeling

Data analysis

Communication

Collaboration

Big data

Education

Master's degree in quantitative discipline

PhD in quantitative discipline

Tools

Pandas

NumPy

Linux

Git

MLflow

Job description

Job Description

Bring your Expertise to JPMorganChase. As part of Risk Management and Compliance, you are at the center of keeping JPMorganChase 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.

Job Description

Bring your Expertise to JPMorganChase. As part of Risk Management and Compliance, you are at the center of keeping JPMorganChase 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 Quantitative Researcher in Wholesale Credit Risk Modeling team, , you will develop and enhance quantitative models that support responsible growth and strong risk controls. You will partner with credit risk, finance, and technology teams to translate business needs into scalable model solutions. You will help us strengthen model methodology, documentation, and governance for key regulatory and risk management use cases. You will present model approaches, results, and limitations to senior stakeholders and model governance forums.

Job Responsibilities

• Develop wholesale credit risk measurement models for portfolios such as Commercial Real Estate loans and structured product vehicles
• Build credit loss models supporting the bank's Current Expected Credit Loss estimation
• Develop stress testing models supporting Comprehensive Capital Analysis and Review processes
• Create scorecard and modeling approaches to measure credit risk for Commercial Real Estate clients
• Assess model performance, limitations, and use appropriateness to identify and monitor model risk
• Design efficient numerical methods to support model estimation, calibration, and validation
• Implement high-performance computing solutions to improve model runtime and scalability
• Build reusable analytics software frameworks and integrate model outputs into downstream systems
• Analyze large, real-world datasets to derive insights that improve model accuracy and stability
• Partner with credit officers, portfolio managers, finance, and technology to deliver business-ready solutions
• Communicate methodology, results, and limitations clearly to model governance committees and regulators

Required Qualifications, Capabilities, And Skills

• Master's degree or higher in a quantitative discipline (for example: mathematics, physics, statistics, economics, finance, or computer science)
• 3 years of experience developing statistical and/or economic models in a financial services or risk context
• 3 years of experience applying regression and multivariate statistical techniques to real-world datasets
• 3 years of hands-on programming experience in Python for data analysis and modeling (including pandas and NumPy)
• 2 years of experience working with machine learning techniques in model development or analytics workflows
• Demonstrated experience working with large datasets and building repeatable data pipelines for modeling
• Knowledge of core banking risks and how risk is measured and managed in a wholesale credit context
• Ability to explain complex quantitative concepts to non-technical stakeholders in clear, concise language
• Proven ability to collaborate across functions and translate business needs into quantitative solutions
• Strong attention to detail, with a disciplined approach to testing, documentation, and controls
• Ability to adapt quickly, learn new domains, and deliver in a fast-paced environment

Preferred Qualifications, Capabilities, And Skills

• Doctorate in a quantitative discipline (for example: mathematics, physics, statistics, economics or finance)
• Experience developing wholesale credit risk models for Basel, Comprehensive Capital Analysis and Review, or Current Expected Credit Losses exercises
• Experience designing numerical algorithms (for example: optimization or root-finding) for model calibration
• Experience with Linux or Unix environments for research and production workflows
• Familiarity with cloud platforms and model lifecycle tooling (for example: AWS, Azure, MLflow, Kubeflow, or SageMaker)
• Experience using modern artificial intelligence tools to accelerate model development, testing, or documentation workflows
• Knowledge of graph or network analytics for counterparty or contagion risk modeling

About Us

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.

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.

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.

JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans

About The Team

J.P. Morgan's Commercial & 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 & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.