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Quantitative Trading & Research - Credit - Vice President
senior · Trading & Markets
We are seeking a highly skilled and motivated Vice President to join our Credit Quantitative Trading (QT) team within JPMorgan Quantitative Trading and Research (QTR). This is a unique opportunity to be part of a global group where your quantitative research and engineering will directly influence our credit market-making and systematic trading franchise across corporate bonds, CDS indices, portfolios, fixed income secondary and primary ETF activities.
Job Summary
As a Vice President in FICC Quantitative Trading at JPMorganChase, you will partner with traders, sales, and technologists to solve complex pricing, hedging/risk, inventory, distribution, and market-structure challenges across FICC. You will drive initiatives from research and back-testing through production implementation and ongoing monitoring, delivering measurable business impact in a fast-paced, highly collaborative environment.
Job Responsibilities
Produce innovative research on quantitative trading strategies
Use data-driven techniques and backtesting to demonstrate performance improvements
Implement strategies in production code and enhance trading software systems
Optimize client pricing distribution
Monitor performance and resolve day-to-day trading issues
Collaborate with other teams to identify opportunities for revenue growth
Required Qualifications, Capabilities, and Skills
Degree in mathematics, physics, engineering, computer science, or other quantitative subject
At least three years of industry experience or equivalent further academic study
Strong programming skills in C++, Java, or other object-oriented languages
Knowledge of probability, statistics, and experience with advanced data analysis techniques
Excellent written and verbal communication skills
Active interest in markets and quantitative trading
Preferred Qualifications, Capabilities, and Skills
Experience in Credit market-making or related asset classes
Familiarity with automated trading systems
Experience with large-scale data sets and optimizing low-latency systems
Advanced degree (Master’s or PhD) in a quantitative discipline