Risk Management [Multiple Positions Available]

JPMorgan Chase & Co.; New York (NY); On-site; USD 160,000 - 210,000; Full time

Job summary

JPMorgan Chase & Co. in New York, NY seeks a quantitative risk professional to analyze macroeconomic trends impacting municipal bonds and market risk. The role conducts stress testing for Fed scenarios and supports governance, with daily risk monitoring and dashboard creation.

The candidate will automate analyses, evaluate hedges, and prepare regulatory responses, collaborating with technologists and senior management.

Qualifications

• Master's degree in Financial Engineering, Quantitative Finance, Economics, Statistics, or related field plus two years of risk/analytical experience.
• Alternative: Bachelor's degree in related field plus four years of risk/analytical experience.

Responsibilities

• Analyze impact of macroeconomic trends on municipal bonds market and market risk using statistical metrics.
• Conduct quarterly and annual stress testing for internal and Fed-defined scenarios; validate results with senior management.
• Perform pre-trade governance scenario analysis on large auctions and portfolio trades; communicate findings with internal partners.
• Monitor daily market risk metrics in collaboration with technology and quantitative research teams.
• Provide risk metrics and P&L impact under stressed conditions; review with senior management.
• Automate daily/weekly/monthly analyses and create dashboards for dynamic views.
• Assess hedging strategy effectiveness and prepare for regulatory inquiries.

Skills

Statistical learning

Time series analysis

Python

Pandas/Numpy

Automation

Scenario analysis

Risk metrics calculation

Dashboards

Education

Master's degree in Financial Engineering/Quantitative Finance/Economics/Statistics

Bachelor's degree +4 years experience

Tools

Python

Excel

Bloomberg

Job description

Duties: Analyze the impact of current macroeconomic market trends on the municipal bonds market and market risk using statistical metrics. Conduct quarterly and annual stress testing for internal and Federal Reserve- defined scenarios, cross-check and validate testing results, and review results with senior management for sign-off. Perform pre-trade governance scenario analysis on large auctions and portfolio trades to ensure that market risk limits are appropriate and communicate findings with internal partners. Monitor market risk metrics daily, ensuring accuracy in collaboration with technology and quantitative research teams. Perform quantitative and qualitative analysis on structured products and hedges. Provide risk metrics and expected P&L impact on various products and inventories during stressed market conditions, and review with senior management. Automate daily, weekly and monthly analysis and create dashboards for dynamic views. Analyze the appropriateness of hedging strategies. Prepare for regulatory inquiries and responses.

QUALIFICATIONS

Minimum education and experience required: Master's degree in Financial Engineering, Quantitative Finance, Economics, Statistics, or related field of study plus two (2) years of experience in the job offered or as Risk Management, Research Associate, Quantitative Analyst, Financial Consultant, or related occupation. The employer will alternatively accept a Bachelor's degree in Financial Engineering, Quantitative Finance, Economics, Statistics, or related field of study plus four (4) years of experience in the job offered or as Risk Management, Research Associate, Quantitative Analyst, Financial Consultant, or related occupation.

Skills Required: This position requires two (2) years of experience with the following skills: Conducting statistical learning and time series analysis using Python, including regression and tree-based models, feature engineering, parameter selection, and cross-validation; Automating business-as-usual processes, such as summarizing risk changes or trading P&L attributions, using Python libraries including pandas and numpy; Performing scenario analysis and stress testing for key risk metrics including interest rate risk and value at risk using Python; Creating interactive dashboards of risk data, trading volume, and economic indicators using Python; Performing stress tests on various fixed income derivative products; Calculating market risk metrics including value at risk and Greeks using Excel and Python. This position requires one (1) year of experience with the following skill: Analyzing market movement using Bloomberg functions including ECO, GC, QR, CDRA, and YAS.

Job Location: 270 Park Avenue, New York, NY 10017

Full-Time. Salary: $160,000 - $210,000 per year.