J.P. Morgan's Systematic Derivatives business is seeking an experienced professional to join a growing team focused on quantitative and systematic option risk strategies, automated liquidity provisioning, and technology-driven market making. The successful candidate will work on the trading side of the business collaborating with quantitative research and technology teams to develop, deploy, and scale systematic derivatives strategies across equity and index options markets. The role combines trading expertise, quantitative analysis, and innovation, requiring a strong understanding of options markets and a passion for leveraging technology, data, and AI-driven solutions to solve complex trading challenges.
As an Associate or Vice President on the Systematic Derivatives Trading team, you will contribute to the development, deployment, and management of systematic option trading strategies and automated liquidity provision systems. You will work in trading: coordinating quantitative research, and technology teams to identify risk opportunities, improve automated risk management frameworks, and build scalable solutions that enhance portfolio performance. The role requires strong options market knowledge, a quantitative mindset, and an interest in leveraging technology, automation, and AI to solve complex trading problems.
Job responsibilities
- Assist in managing and optimizing systematic options trading strategies across equity and index derivatives markets, and evaluate new market structure developments, products, and trading opportunities
- Analyze and manage portfolio risk, including delta, gamma, vega, and liquidity exposures; monitor trading performance and investigate P&L drivers, risk events, and execution outcomes
- Develop tools and analytics to improve execution quality, risk management, and trading performance
- Partner with Quantitative Research teams to design, test, and deploy systematic trading strategies
- Collaborate with technology teams to build and enhance automated trading, market making, and hedging systems
- Analyze large datasets to identify trading opportunities, market trends, and strategy enhancements; support the development and monitoring of AI-driven and data-driven trading solutions
- Communicate market activity, strategy performance, and trading insights to stakeholders across trading, sales, quant, and technology teams
Required qualifications, capabilities, and skills
- Demonstrated interest in applying technology, automation, AI, and quantitative techniques to improve trading and risk management outcomes
- Strong understanding of listed options markets, exchange mechanics, derivatives pricing, and risk management concepts
- Quantitative background with the ability to analyze complex datasets and solve analytical problems; experience with Python and data analysis libraries to build tools, automate workflows, and conduct research
- Strong understanding of statistics, probability, and systematic decision-making frameworks
- Intellectual curiosity and ability to explain market behavior and trading outcomes using data
- Ability to work effectively across trading, quantitative research, and technology organizations, with strong communication skills and the ability to present complex concepts clearly and concisely
- Demonstrated ownership, attention to detail, and strong risk management discipline
Preferred qualifications, capabilities, and skills
- Experience trading or supporting equity and index options market making businesses, with knowledge of volatility products, options market structure, and automated risk management techniques
- Experience developing, researching, or managing systematic, quantitative, or algorithmic trading strategies, including the application of machine learning, AI, or advanced statistical modeling techniques
- Degree in a quantitative discipline such as Mathematics, Statistics, Computer Science, Physics, or Engineering; experience working with large financial datasets and analytical tools
- Familiarity with electronic trading systems, automated execution platforms, and market microstructure; prior experience collaborating with traders, quantitative researchers, and software engineers in a trading environment
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. 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. We also offer a range of benefits and programs to meet employee needs, based on eligibility. 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. Additional details about total compensation and benefits will be provided during the hiring process.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. 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. Visit our FAQs for more information about requesting an accommodation.
JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans
JPMorganChase New York, New York, USA Office
270 Park Avenue, New York, NY, United States, 10017-2014
JPMorganChase New York, New York, USA Office
4 Metrotech Center, New York, NY, United States, 11201
Similar Jobs
.png){kind=logo}
What you need to know about the NYC Tech Scene
Key Facts About NYC Tech
- Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
- Key Industries: Artificial intelligence, Fintech
- Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
- Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory
