Risk Management - Quant Modeling Lead - Vice President

Aumni; Jersey City (NJ); On-site; USD 150,000 - 230,000; Full time

Benefits offered by this job

Health insurance

On-site health and wellness centers

Retirement savings plan

Backup childcare

Tuition reimbursement

Mental health support

Financial coaching

Job summary

JPMorganChase in Jersey City seeks a Quantitative Researcher for Wholesale Credit Risk Modeling to develop and enhance models supporting risk controls and regulatory processes. You will work with credit risk, finance, and technology to translate business needs into scalable model solutions.

You will present model approaches and results to governance forums and regulators, while improving methodology, documentation, and model governance. Strong Python, ML, and HPC experience are essential.

Qualifications

• Master’s degree or PhD in a quantitative discipline (e.g., economics, finance, physics, mathematics, or computer science).
• 5+ years of experience developing statistical/economic models in financial services or risk contexts, including Python for data analysis and modeling.
• 3+ years of experience with machine learning in model development or analytics workflows.
• Experience with modern AI tools to accelerate model development, testing, or documentation workflows.

Responsibilities

• Develop wholesale credit risk measurement models for portfolios (Commercial & Industrial loans, structured products).
• Create rating and credit officer-facing modeling approaches for commercial and corporate clients.
• Assess model performance, limitations, and use; design efficient numerical methods for estimation, calibration, and validation.
• Implement HPC solutions to improve runtime and scalability.
• Build reusable analytics software frameworks and integrate model outputs into downstream systems.
• Analyze large datasets to derive insights that improve accuracy and stability.
• Partner with stakeholders to communicate methodology, results, and limitations to governance forums.

Skills

Pandas/NumPy

Python programming

Machine learning

Model governance

Communication to stakeholders

Quantitative finance

Dimensionality reduction

Education

Master’s or PhD in quantitative field

Doctorate (preferred)

Tools

Linux/Unix

AWS/Azure

MLflow/Kubeflow/SageMaker

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 and Industrial loans and structured product vehicles, including models supporting the bank’s Current Expected Credit Loss estimation and Comprehensive Capital Analysis and Review processes
• Create rating and credit officer-facing modeling approaches to measure credit risk for commercial and corporate 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 and communicate methodology, results, and limitations clearly to model governance committees and regulators

Required qualifications, capabilities, and skills:

• Master’s degree or PhD in a quantitative discipline (for example: economics, finance, physics, mathematics, or computer science)
• 5 plus years of experience developing statistical and/or economic models in a financial services or risk context, including hands‑on programming experience in Python for data analysis and modeling (including pandas and NumPy)
• 3 plus years of experience working with machine learning techniques in model development or analytics workflows, with demonstrated experience working with large datasets and building repeatable data pipelines for modeling
• Experience using modern artificial intelligence tools to accelerate model development, testing, or documentation workflows
• 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; a 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: economics, finance, mathematics, or physics)
• Experience designing numerical algorithms (for example: optimization or root‑finding) for model calibration; knowledge of graph or network analytics for counterparty or contagion risk modeling
• 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)

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.

• comprehensive health care coverage
• on‑site health and wellness centers
• a retirement savings plan
• backup childcare
• tuition reimbursement
• mental health support
• financial coaching

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

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. Build advanced wholesale credit risk models to support reserves, stress testing, and responsible risk management.