Quantitative Trading & Research - Credit Quantitative Trading - Vice President

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