Risk Management - Stress Testing - Senior Associate

JPMorgan Chase & Co.•Jersey City, NJ

6h•$92,150 - $151,000

About The Position

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.

Requirements

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.

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.