Wholesale Credit Risk Quant Researcher

JPMorgan Chase & Co.; Jersey City (NJ); On-site; USD 150,000 - 210,000; Full time

Job summary

JPMorgan Chase & Co. in New Jersey seeks a Quantitative Researcher in Wholesale Credit Risk Modeling. You will develop and enhance quantitative models, translate business needs into scalable solutions, and strengthen governance for regulatory use cases.

You will collaborate with credit risk, finance, and technology teams to present model results and deliver business-ready solutions, building reusable analytics software while handling large datasets.

Qualifications

• Master’s degree or higher in a quantitative discipline (mathematics, physics, statistics, economics, finance or computer science).
• 3 years of experience developing statistical/economic models in financial services or risk context.
• 3 years applying regression and multivariate techniques to real-world datasets.
• 3 years of hands-on Python for data analysis and modeling (pandas and NumPy).
• 2 years of experience with machine learning in model development or analytics workflows.
• Experience building repeatable data pipelines for modeling.
• Knowledge of core banking risks and wholesale credit risk measurement.
• Ability to explain complex quantitative concepts to non-technical stakeholders clearly.
• Proven ability to collaborate across functions and translate business needs into quantitative solutions.
• Strong attention to detail, testing, documentation, and controls.
• Ability to adapt quickly and deliver in a fast-paced environment.

Responsibilities

• Develop wholesale credit risk measurement models for portfolios such as Commercial Real Estate loans and structured product vehicles.
• Build credit loss models supporting bank’s Current Expected Credit Loss estimation.
• Develop stress testing models supporting CCAR processes.
• Create scorecard and modeling approaches to measure credit risk for CRE clients.
• Assess model performance, limitations, and use to identify model risk.
• Design numerical methods to support model estimation, calibration, and validation.
• Implement high-performance computing solutions to improve 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 solutions.
• Communicate methodology, results, and limitations to governance committees and regulators.

Skills

Quantitative modelling

Statistical analysis

Python programming

Machine learning

Data pipelines

Communication to stakeholders

Attention to detail

Cross-functional collaboration

Problem solving under pressure

Education

Master’s degree in quantitative discipline

Doctorate in quantitative discipline

Tools

pandas

NumPy

Linux/Unix

AWS

Azure

MLflow

Kubeflow

SageMaker

Job description

JPMorgan Chase & Co. in New Jersey seeks a Quantitative Researcher in Wholesale Credit Risk Modeling. You will develop and enhance quantitative models, translate business needs into scalable solutions, and strengthen governance for regulatory use cases.

You will collaborate with credit risk, finance, and technology teams to present model results and deliver business-ready solutions, building reusable analytics software while handling large datasets.