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Risk Management

Location
Brooklyn, NY
Work type
Full Time · On-site
Posted
2026-10-07

Job description

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.

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.
Facilitate Presentations
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.
Proven experience facilitating Presentations
Proven background in Coding
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.

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