Risk Management – Quant Modeling Lead – Vice President

Jersey Digs; Jersey City, Northern (NJ, KY); Hybrid; USD 150,000 - 230,000; Full time

Job summary

JPMorganChase is seeking a highly skilled Quantitative Researcher for Wholesale Credit Risk Modeling. You will develop models that inform credit risk and capital decisions, and collaborate with risk, finance, and technology teams to translate business needs into scalable solutions.

The role emphasizes model governance, documentation, and clear communication of results to senior stakeholders and regulators, with responsibility for improving model performance and deployment across risk systems.

Qualifications

• Master’s degree or PhD in a quantitative discipline such as economics, finance, physics, mathematics, or CS.
• 5+ years of experience developing statistical/economic models in financial services or risk contexts; Python for data analysis.
• 3+ years of experience with machine learning in model development or analytics workflows, with large datasets and data pipelines.
• Experience using modern AI tools to accelerate model development, testing, or documentation.
• Knowledge of core banking risks and wholesale credit risk measurement.
• Ability to explain quantitative concepts to non-technical stakeholders.
• Strong attention to detail and disciplined testing/documentation.

Responsibilities

• Develop wholesale credit risk models for portfolios including Commercial and Industrial loans and structured product vehicles.
• Create rating and credit officer-facing modeling approaches for commercial and corporate clients.
• Assess model performance and limitations; design methods for estimation, calibration, validation.
• Implement high-performance computing to improve runtime and scalability.
• Build reusable analytics software frameworks and integrate outputs into downstream systems.
• Analyze large datasets to derive insights that improve model accuracy and stability.
• Collaborate with risk, finance, and technology to present methodology and results to governance committees and regulators.

Skills

Quantitative modeling

Python (pandas, NumPy)

Machine learning

Data pipelines

Communication

Explain complex concepts

Attention to detail

Education

Master’s degree or PhD in quantitative discipline

Tools

Linux/Unix

Cloud platforms

MLflow / Kubeflow / SageMaker

Job description

Overview

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)

About JPMorganChase

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.

Compensation & 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.