Automated Trading Strategies - Associate

Location: New York, NY, United States

Job Family: Algo Trading

About the Role

JPMorgan Chase & Co. is a leading global financial services firm with assets of $3.7 trillion and operations worldwide. The Automated Trading Strategies (ATS) group within the firm's Markets division drives innovation in systematic trading across FX, Rates, Commodities, and Credit markets. As an Associate in ATS, you will join a dynamic team of quants, developers, and traders in New York, NY, leveraging cutting-edge technology to execute high-volume, low-latency trades that capitalize on market inefficiencies. This role offers the opportunity to contribute to JPMorgan's market-making leadership while working on proprietary platforms that integrate advanced analytics and automation. In this position, you will design, test, and deploy algorithmic trading strategies that enhance execution efficiency and profitability. Responsibilities include analyzing vast datasets to uncover alpha-generating signals, optimizing models with machine learning, and ensuring seamless integration with JPMorgan's risk management frameworks. You will collaborate closely with senior strategists to iterate on live strategies, responding to real-time market events and regulatory changes. The role demands a blend of quantitative rigor and practical trading insight, all within a supportive environment that values innovation and work-life balance. JPMorgan Chase is committed to fostering a diverse and inclusive culture, providing Associates with resources for continuous learning and career growth. This Associate-level opportunity is ideal for talented individuals passionate about quantitative finance, offering exposure to global markets and the chance to impact one of the world's largest trading desks. If you thrive in a collaborative, high-stakes setting and have a strong foundation in programming and financial modeling, join us to shape the future of automated trading at JPMorgan.

Key Responsibilities

• Develop and implement automated trading strategies for FX, Rates, Commodities, and Credit markets
• Analyze market data to identify trading opportunities and refine algorithmic models
• Collaborate with traders, quants, and engineers to deploy and monitor trading systems
• Backtest and optimize strategies using historical and real-time data
• Manage risk parameters and ensure compliance with regulatory and internal risk policies
• Integrate machine learning techniques to enhance predictive accuracy of trading signals
• Troubleshoot and debug trading algorithms during live market conditions
• Contribute to the evolution of JPMorgan's Automated Trading Strategies platform
• Document strategies and processes for knowledge sharing across the team
• Stay abreast of market trends and technological advancements in systematic trading

Required Qualifications

• Bachelor's degree in Computer Science, Mathematics, Engineering, Finance, or a related quantitative field
• 2-5 years of experience in quantitative finance, algorithmic trading, or systematic trading strategies
• Strong programming proficiency in Python, C++, or Java, with experience in financial data handling
• Solid understanding of financial markets including FX, Rates, Commodities, and Credit
• Experience with statistical modeling, machine learning, or optimization techniques
• Ability to work in a fast-paced, high-stakes trading environment
• U.S. work authorization and ability to obtain necessary securities licenses

Preferred Qualifications

• Master's or PhD in a quantitative discipline
• Prior experience at a major investment bank or hedge fund in automated trading
• Familiarity with JPMorgan's proprietary trading systems or similar platforms
• Publications or contributions to open-source quantitative finance projects
• Series 7 or 57 license

Required Skills

• Proficiency in Python for data analysis and strategy development
• Expertise in C++ for high-frequency trading applications
• Knowledge of statistical methods and time-series analysis
• Machine learning frameworks like TensorFlow or scikit-learn
• Understanding of market microstructure and liquidity dynamics
• Risk management and portfolio optimization techniques
• SQL and database querying for financial datasets
• Version control with Git and agile development practices
• Strong analytical and problem-solving abilities
• Excellent communication skills for cross-functional collaboration
• Attention to detail in high-pressure environments
• Adaptability to evolving market conditions
• Quantitative modeling using stochastic processes
• Experience with cloud computing platforms like AWS
• Ethical decision-making in compliance-sensitive roles

Benefits

• Competitive base salary and performance-based bonus structure
• Comprehensive health, dental, and vision insurance plans
• 401(k) retirement savings plan with generous company matching
• Paid time off including vacation, sick days, and parental leave
• Professional development programs and tuition reimbursement
• Employee stock purchase plan and financial wellness resources
• On-site fitness centers and wellness initiatives at JPMorgan offices
• Global mobility opportunities within JPMorgan Chase's network

JP Morgan Chase is an equal opportunity employer.