Quantitative Research - Cash Equities - Associate

Location: New York, NY, United States

Job Family: Associates

About the Role

At JPMorgan Chase & Co., one of the world's leading financial services firms, our Quantitative Research team in Cash Equities is at the forefront of transforming how we trade and manage equities portfolios. As an Associate in Quantitative Research - Cash Equities, you will join a dynamic group of experts in New York, NY, where you'll leverage advanced mathematical and computational techniques to drive innovation in trading processes. This role offers the opportunity to make a tangible impact by developing sophisticated models that enhance trading efficiency, minimize costs, and capitalize on market opportunities in the fast-paced world of cash equities. You'll work closely with traders, engineers, and risk professionals to turn complex data into actionable strategies, contributing to JPMorgan Chase's reputation for cutting-edge financial solutions. Your day-to-day responsibilities will involve deep dives into market microstructure, analyzing terabytes of trading data to uncover patterns and inefficiencies. You'll design and implement algorithmic frameworks using tools like Python and C++ to optimize order execution, predict liquidity, and mitigate risks in real-time trading environments. At JPMorgan Chase, we emphasize collaboration and innovation, so expect to partner across teams to integrate your research into live systems, ensuring seamless performance under regulatory scrutiny from bodies like the SEC. This position is ideal for those passionate about quantitative finance, offering exposure to high-stakes decision-making that influences billions in daily trades. We foster a culture of continuous learning and excellence at JPMorgan Chase, providing Associates with resources to grow their expertise in quantitative methods and financial markets. If you're ready to apply your analytical prowess to real-world challenges in equities trading, this role will position you at the intersection of technology, finance, and strategy. Join us to help shape the future of global markets while advancing your career in a supportive, high-impact environment.

Key Responsibilities

• Develop and enhance quantitative models for cash equities trading strategies to optimize execution and reduce market impact
• Analyze large-scale market data to identify trading inefficiencies and opportunities for algorithmic improvements
• Collaborate with trading desks, technology teams, and risk management to implement and test new quantitative tools
• Conduct statistical research on equities price dynamics, liquidity, and volatility to inform trading decisions
• Build and maintain simulation environments for backtesting trading algorithms under various market conditions
• Monitor and refine live trading models, ensuring compliance with internal policies and regulatory standards
• Contribute to innovation in automated trading processes, leveraging machine learning for predictive analytics
• Document research findings and present insights to senior stakeholders to drive strategic initiatives
• Stay abreast of market trends, technological advancements, and regulatory changes affecting cash equities

Required Qualifications

• Bachelor's degree in quantitative field such as Mathematics, Physics, Computer Science, or Financial Engineering; advanced degree (Master's or PhD) strongly preferred
• 3-5 years of experience in quantitative research, algorithmic trading, or financial modeling within equities or related markets
• Proficiency in programming languages including Python, C++, and SQL for data analysis and model development
• Strong understanding of cash equities markets, trading mechanics, and regulatory environments like SEC and FINRA
• Demonstrated experience with statistical analysis, machine learning, and optimization techniques applied to financial datasets
• Excellent problem-solving abilities and ability to work in a fast-paced, high-stakes trading environment

Preferred Qualifications

• PhD in a quantitative discipline with a focus on financial applications
• Prior experience at a major investment bank or hedge fund in equities quantitative research
• Familiarity with JPMorgan Chase's proprietary trading systems or similar platforms
• Publications or contributions to open-source projects in quantitative finance
• Experience with real-time data processing and low-latency trading systems

Required Skills

• Quantitative modeling and statistical analysis
• Programming in Python, C++, and R
• Machine learning and data science techniques
• Financial market knowledge, especially cash equities
• Algorithmic trading and execution strategies
• Data visualization and reporting tools (e.g., Tableau, Matplotlib)
• SQL and database management for large datasets
• Optimization algorithms and numerical methods
• Risk assessment and scenario analysis
• Strong analytical and critical thinking
• Effective communication and presentation skills
• Team collaboration in cross-functional environments
• Attention to detail and accuracy under pressure
• Adaptability to evolving market conditions
• Ethical judgment 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 opportunities, including tuition reimbursement and internal training programs
• Employee stock purchase plan and access to financial wellness resources
• On-site fitness centers, wellness programs, and mental health support
• Flexible work arrangements and commuter benefits in New York

JP Morgan Chase is an equal opportunity employer.