Risk Management - Stress Testing - Senior Associate

JPMorgan Chase; Jersey City (NJ); On-site; USD 120,000 - 180,000; Full time

Job summary

JPMorgan Chase in Jersey City, NJ, is seeking a Stress Testing Senior Officer - Senior Associate to support the development of risk estimation methodologies and run Operational Risk Scenario Analysis for CCAR, DFAST, and ICAAP stress testing.

The role involves structuring scenarios, estimating risk drivers, and translating complex quantitative concepts into clear insights for senior leadership, while collaborating with Risk Identification leads, Model Risk, and Legal partners.

Qualifications

• Bachelor's degree in a quantitative, analytical, technical, financial, or related discipline.
• 3+ years of experience in data analytics, quantitative analysis, model development, risk analytics, operational risk, stress testing, or related field; or advanced degree with 2 years of relevant experience.
• Strong analytical, quantitative, and problem-solving skills, with intellectual curiosity and sound business judgment.

Responsibilities

• Support development and enhancement of Operational Risk Scenario Analysis quantification methodologies.
• Structure operational risk scenarios and estimate key risk drivers, including exposure, impact, and occurrence.
• Conduct data-driven and subject matter expert-based analysis to assess scenario outcomes.
• Partner with Lines of Business, Risk Identification teams, Operational Risk Officers, Model Risk, Legal, and other stakeholders to gather inputs and challenge assumptions.
• Support model risk activities, including documentation, validation reviews, issue remediation, and governance.
• Develop and enhance analytical tools, estimation approaches, and models for Scenario Analysis, CCAR, DFAST, and ICAAP stress testing.
• Perform data analysis, sensitivity analysis, benchmarking, back-testing, and output reasonableness assessments.
• Explore machine learning and GenAI-enabled approaches for scenario analysis, risk taxonomy, and unstructured data use cases.
• Identify opportunities to automate workflows, improve scalability, strengthen controls, and enhance transparency.
• Translate complex quantitative, technical, and risk concepts into clear insights for senior stakeholders.

Skills

Data analytics

Quantitative analysis

Risk analysis

Model development

Communication

Education

Bachelor's degree in quantitative/analytical/technical/financial field

Job description

Join JPMorgan Chase and help strengthen how the firm identifies, measures, and manages operational risk. As part of the Operational Risk team, you'll apply quantitative expertise, analytical judgment, and innovative thinking to support scenario analysis activities that inform risk management, stress testing, and senior-level decision-making.

As a Stress Testing Senior Officer - Senior Associate in the Firmwide Risk and Compliance team, you will support the development of risk estimation methodologies and the execution of Operational Risk Scenario Analysis activities. You will work closely with senior executives, subject matter experts, Risk Identification leads across Lines of Business, Operational Risk Officers, Model Risk, and Legal partners to structure scenarios, estimate risk drivers, assess potential outcomes, and enhance analytical tools and models.

Job responsibilities:

• Support development and enhancement of Operational Risk Scenario Analysis quantification methodologies.
• Structure operational risk scenarios and estimate key risk drivers, including exposure, impact, and occurrence.
• Conduct data-driven and subject matter expert-based analysis to assess scenario outcomes.
• Partner with Lines of Business, Risk Identification teams, Operational Risk Officers, Model Risk, Legal, and other stakeholders to gather inputs and challenge assumptions.
• Support model risk activities, including documentation, validation reviews, issue remediation, and governance.
• Develop and enhance analytical tools, estimation approaches, and models for Scenario Analysis, CCAR, DFAST, and ICAAP stress testing.
• Perform data analysis, sensitivity analysis, benchmarking, back-testing, and output reasonableness assessments.
• Explore machine learning and GenAI-enabled approaches for scenario analysis, risk taxonomy, and unstructured data use cases.
• Identify opportunities to automate workflows, improve scalability, strengthen controls, and enhance transparency.
• Translate complex quantitative, technical, and risk concepts into clear insights for senior stakeholders.

Required qualifications, capabilities, and skills:

• Bachelor's degree in a quantitative, analytical, technical, financial, or related discipline.
• 3 years plus of experience in data analytics, quantitative analysis, model development, risk analytics, operational risk, stress testing, or a related field; or advanced degree with 2 years of relevant experience.
• Strong analytical, quantitative, and problem-solving skills, with intellectual curiosity and sound business judgment.