Quantitative Research - Cash Equities Analytics Automation and Optimization (AAO) - Associate or Vice President

Location: LONDON, LONDON, United Kingdom

Job Family: Data Management

About the Role

Join JPMorgan Chase & Co., a leading global financial services firm, as a Quantitative Research Associate or Vice President in the Cash Equities Analytics Automation and Optimization (AAO) team. Based in our state-of-the-art London office, this role offers a unique opportunity to leverage your quantitative expertise in a dynamic environment focused on innovating cash equities trading strategies. As part of the Quantitative Research group, you will contribute to cutting-edge projects that drive automation and optimization in analytics, enhancing execution efficiency and market insights for one of the world's largest investment banks. This position is ideal for professionals passionate about applying advanced quantitative methods to real-world financial challenges in a collaborative, high-impact setting. In this role, you will develop sophisticated models and automation tools to streamline cash equities analytics, working closely with traders, engineers, and data scientists. Responsibilities include designing data pipelines for real-time market data processing, optimizing algorithms to minimize trading costs, and analyzing vast datasets to uncover actionable insights on liquidity and execution quality. You will play a key part in adapting to evolving market dynamics and regulatory landscapes, such as MiFID II, ensuring our systems remain robust and compliant. Your work will directly influence JPMorgan Chase's competitive edge in global equities markets, supporting billions in daily trading volume. JPMorgan Chase values innovation and professional growth, providing access to top-tier resources and mentorship from industry leaders. We foster an inclusive culture that encourages diverse perspectives and work-life balance, with opportunities for career progression across our international network. If you thrive in a fast-paced financial services environment and have a strong foundation in quantitative research, this role offers the chance to make a meaningful impact on our Cash Equities franchise while advancing your career at a premier institution.

Key Responsibilities

• Develop and optimize quantitative models for cash equities analytics to enhance trading efficiency and performance
• Automate data pipelines and workflows for real-time analytics, ensuring scalability and reliability in high-volume trading environments
• Collaborate with trading desks, technology teams, and risk management to identify and implement optimization opportunities
• Analyze large datasets from cash equities markets to derive insights on execution quality, liquidity, and market impact
• Design and backtest algorithms for trade automation, focusing on cost reduction and alpha generation
• Monitor and refine automation tools to adapt to evolving market conditions and regulatory changes
• Contribute to the development of proprietary analytics platforms within JP Morgan Chase's Quantitative Research group
• Conduct performance tuning and stress testing of analytics systems to ensure robustness during market volatility
• Document methodologies and present findings to senior stakeholders to drive strategic decision-making

Required Qualifications

• Bachelor's or Master's degree in Quantitative Finance, Computer Science, Mathematics, Physics, or a related quantitative field
• 3-5 years of experience in quantitative research, financial modeling, or data analytics within the financial services industry
• Strong proficiency in programming languages such as Python, C++, or Java for developing quantitative models and automation tools
• Demonstrated experience with cash equities markets, including trading systems, execution algorithms, and market microstructure
• Knowledge of data management practices, including ETL processes, database optimization, and handling large-scale financial datasets
• Ability to work in a fast-paced, collaborative environment with cross-functional teams in a global financial institution

Preferred Qualifications

• Advanced degree (PhD) in a quantitative discipline with a focus on financial engineering or machine learning
• Experience with JP Morgan Chase's internal tools or similar proprietary trading platforms in cash equities
• Prior involvement in automation projects for analytics optimization in high-frequency trading environments
• Familiarity with regulatory requirements such as MiFID II and their impact on equities analytics

Required Skills

• Quantitative modeling and statistical analysis
• Programming in Python, C++, or Java
• Data analytics and machine learning techniques
• Knowledge of cash equities trading and market microstructure
• Automation scripting and workflow optimization
• Database management (SQL, NoSQL)
• Financial data handling and ETL processes
• Algorithm design and backtesting
• Problem-solving in high-pressure environments
• Cross-functional collaboration and communication
• Regulatory compliance awareness (e.g., MiFID II)
• Performance tuning for large-scale systems
• Risk assessment and scenario analysis
• Attention to detail and analytical thinking
• Adaptability to dynamic market conditions

Benefits

• Competitive base salary and performance-based bonus structure aligned with financial services industry standards
• Comprehensive health, dental, and vision insurance coverage for employees and eligible dependents
• Generous retirement savings plan with company matching contributions up to 6% of eligible compensation
• Paid time off including 25+ vacation days, parental leave, and flexible working arrangements
• Professional development opportunities through JP Morgan's internal training programs and tuition reimbursement
• Employee stock purchase plan and access to financial wellness resources
• Global mobility support for career advancement within JP Morgan Chase's international network
• Wellness programs including gym memberships, mental health support, and onsite fitness facilities in London

JP Morgan Chase is an equal opportunity employer.