Quantitative Trading Researcher [Multiple Positions Available]

JPMorgan Chase & Co. • New York, NY

3d • $235,000 - $285,000 • Onsite

About The Position

Automate electronic trading processes from signal generation through auto-quoting and execution risk management, including order placement and execution, using technology-driven trading platforms focused on speed, efficiency, and reliability. Oversee the design, implementation, testing, and refinement of electronic trading algorithms for equity markets and futures, ensuring technical performance and adaptability to market conditions. Analyze markets and historical data to identify system improvements, formulate trading strategies, and validate and optimize algorithms through back testing and simulation. Monitor algorithm and trade performance, set parameters, and use optimization modules and execution risk management techniques. Analyze results and make data-driven adjustments to improve efficiency and profitability and mitigate slippage. Coordinate with business control and compliance teams to meet internal and regulatory requirements. Collaborate with technology teams to build and maintain reliable, scalable, and secure infrastructure and trading platforms, and help prioritize initiatives supporting electronic execution products. Communicate quantitative insights and recommendations to technical and non-technical audiences, while managing multiple assignments.

Requirements

• Master's degree in Computer Science, Computer Engineering, Mathematics, Quantitative Finance, Electrical and Computer Engineering, or a related field, plus 3 years of experience in the offered job or a related occupation; alternatively, a bachelor's degree in one of those fields plus 5 years of experience.
• Three years of experience programming with Python, Java, or C++, and working with KDB/q and SQL to manipulate and aggregate large datasets.
• Three years of experience conducting statistical and quantitative research on market and transaction data, evaluating trading algorithm performance, reducing execution costs, and translating findings into actionable strategies.
• Three years of experience using tools and technologies including Python, Java, Matplotlib, Plotly, SQL, Q, and Jupyter for quantitative research and communication.
• Three years of experience applying quantitative techniques including regression, time-series analysis, linear algebra, statistics, optimization, and algorithmic execution to develop and validate execution and trading models.
• Three years of experience designing, developing, and deploying algorithmic trading solutions, including automated limit order placement and automated execution of signal-generated orders across electronic instruments.
• Three years of experience building data pipelines and performing real-time analytics for performance tracking and risk monitoring using tools including Python and KDB/q.
• Three years of experience with market microstructure, including central limit order book matching and multi-asset market-making infrastructure encompassing direct market access and FIX messaging for low-latency transmission of orders and market data.

Responsibilities

• Automate electronic trading from signal generation to auto-quoting and execution risk management, including order placement and execution.
• Oversee the design, implementation, testing, and refinement of electronic trading algorithms for equity markets and futures.
• Conduct market and historical-data analysis, develop trading strategies, and use back testing and simulation to validate and optimize algorithms.
• Monitor algorithm and executed-trade performance; set parameters and use optimization modules and execution risk management techniques.
• Analyze outcomes and make data-driven adjustments to improve efficiency and profitability and mitigate slippage.
• Coordinate with business control and compliance teams to ensure strategies meet internal and regulatory requirements.
• Collaborate with technology teams to develop and maintain reliable, scalable, and secure infrastructure and trading platforms.
• Guide prioritization of projects and initiatives for electronic execution products.
• Communicate quantitative insights and recommendations to technical and non-technical audiences and manage multiple assignments.

Benefits

• Competitive total rewards package, including base salary determined by role, experience, skill set, and location.
• Eligible roles may receive commission-based pay and/or discretionary incentive compensation in cash and/or forfeitable equity.
• Comprehensive health care coverage.
• On-site health and wellness centers.
• Retirement savings plan.
• Backup childcare.
• Tuition reimbursement.
• Mental health support.
• Financial coaching.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level