Be part of a dynamic team at J.P. Morgan Wealth Management, where your expertise helps protect our Online Investing business and supports investors in achieving their long-term financial goals. As a trusted advisor, you’ll drive innovative solutions to complex challenges and maintain a relentless focus on risk and controls.

As an Associate in Exposure Management & Market Surveillance, you’ll play a vital role in supporting our financial risk strategy and ensuring robust market surveillance. This is an excellent opportunity to apply your technical skills in a fast-paced environment that blends modern analytics with traditional risk management processes.

Job responsibilities­­­

Contribute to the development and execution of stress testing deliverables, including Value at Risk (VaR) and Expected Tail Loss modeling.Utilize Python, SQL, and data visualization tools to support data research and enhance reporting capabilities.Assist in monitoring intraday market volatility across sectors and asset classes, and support risk analytics and reporting.Review and reconcile Excel-based risk reports to ensure accuracy.Support daily calibration of margin requirements and collaborate with senior team members to meet regulatory standards.Collaborate with risk management teams to review models, methodologies, and assumptions for risk modeling activities.Assist in monitoring client exposure at the account level and support proactive outreach for accounts with high potential exposure.

 

Required qualifications, capabilities, and skills

Undergraduate degree in finance, economics, mathematics, computer science, or a related field.3+ years of experience in financial services, risk management, or a related field.Strong technical skills, with professional knowledge in, and experience with Python, SQL, and data analytics packages.Experience with data visualization tools such as Tableau or similar.Basic understanding of financial products and market dynamics.Excellent quantitative and qualitative analytical skills.Exposure to financial mathematics, quantitative risk methodologies, or data science.Strong communication and interpersonal skills.Ability to identify and resolve operational risk issues through manual review.Demonstrated ability to adapt to both technical and operational challenges.

Preferred qualifications, capabilities, and skills

Graduate degree in finance, economics, mathematics, computer science, or a related field.Familiarity with Bloomberg, FactSet, or similar financial data platforms.Series 7 Licensing or willingness to obtain.Experience working with legacy systems or manual operational processes is a plus.