Quantitative Trading & Research - Systematic Trading - Associate

Are you ready to make an impact in

Equity Derivatives trading ? As a Quantitative Trading & Research (QTR) team member, you will drive innovation across the

vol trading

ecosystem by applying advanced data analytics, statistical modeling, and machine learning. Join our global team and leverage your skills to shape the future of financial markets. We offer comprehensive training and growth opportunities to enhance your skills and advance your career. As an

Alpha Quant on the Equity Derivatives QTR team

, you will focus on

end-to-end alpha research and strategy deployment

across equity options and volatility markets. You will help drive the alpha research agenda for Systematic Derivatives, using data analytics and software engineering to deliver

research-to-production

strategies. Your role will involve feature engineering from diverse data sources, building robust

alpha calibration, attribution, and monitoring frameworks

, partnering closely with trading, and implementing systematic strategies with strong attention to execution, hedging, and risk. Work closely with trading to build

end-to-end design and implementation of daily and intraday

signal research and deployment infrastructure

, with special focus on

equity derivatives / Systematic derivatives

. Contribute from idea generation to production implementation: perform research, design prototypes, implement

alpha signals

and systematic strategies; support daily usage, monitor performance, and iterate based on live feedback. Research and model

equity options and volatility dynamics (e.g., surface arbitrage, term structure, skew, dispersion, event risk, RV) and translate insights into deployable systematic strategies. Develop and maintain robust

backtesting, attribution, and regime analysis frameworks tailored to derivatives PnL drivers. Build models that integrate

fundamental, quantitative, and microstructure features to support risk internalization and/or risk warehousing, using statistics, machine learning, or heuristics as appropriate. Partner with the business on

alpha capture, risk recycling, hedging design

, and position/risk management for derivatives strategies (including Greeks and scenarios). Collaborate broadly with QTR teams across regions to build reusable research libraries, tooling, and standardized workflows for experimentation, deployment, and monitoring. (Plus) Leverage

AI/ML and modern AI tooling to accelerate research and improve developer productivity, with an understanding of

AI productionization (model governance, evaluation, monitoring, and safe professional use of AI agents). You have direct working knowledge of

signal research with market data and other financial data

, alpha capture, and risk warehousing, preferably in equity derivatives. You like working closely with trading desks, understanding their business, and have a strong mind-set of ownership to have an impact on the way they operate. You demonstrate proficiency in code design and programming skills, with primary focus on

Python, KDB, C++ or Java in a commercial environment. You have practical data analytics skills on real data sets gained through hands-on experience, and can handle and analyze complex, large scale, high-dimensionality data from various sources. You quickly grasp business concepts outside immediate area of expertise and adapt to rapidly changing business needs. Strong graduate degree (MS or PhD) in a quantitative field (Computer Science, Financial Engineering, Mathematics, Physics, Statistics, Economics, ...). Strong expertise in statistics and machine learning in financial industry. Robust testing and verification practice. Direct experience with electronic trading, and knowledge of trading algorithms. 3 to 5 years' experience in finance: market making, electronic trading, trading strategies (high to low frequency: market making, statistical arbitrage,

option trading

...), or

derivatives pricing and risk management

. Knowledge of

equity derivatives and volatility products is a plus. Plus: experience leveraging

AI for research and engineering workflows, and familiarity with

productionizing AI (repeatable pipelines, evaluation/monitoring, model risk awareness) and using

AI agents professionally

. JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.