Asset Management, Investment Platform - Trading Research Organization Description
J.P. Morgan Asset & Wealth Management delivers industry-leading investment management and private banking solutions with client assets of $4 trillion. Asset Management provides individuals, advisors and institutions with strategies and expertise that span the full spectrum of asset classes through our global network of investment professionals. Wealth Management helps individuals, families and foundations take a more intentional approach to their wealth or finances to better define, focus and realize their goals.
Employer Description
J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world’s most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives.
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. In accordance with applicable law, we make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as any mental health or physical disability needs.
Job Summary
The Trading Research team is focused on the quantitative analysis of trading performance and strategy development. This involves detailed transaction cost analysis (TCA), improving our systematic trading and automation capabilities, and supporting the needs of our trading desks. The research and analytics function is performed by a global team with members in New York, London, Hong Kong and Mumbai using a global trading analytics platform. We are looking for a talented VP-level candidate in London.
Job Responsibilities:
Quantitative Trading Research: Design and implement research projects using market data analysis to identify signals, optimize execution strategies, and enhance trading performance metrics.Optimise Trading: Collaborate with traders to enhance our systematic trading platform using statistical models and machine learning techniques.Provide Execution Consultancy: Serve as subject matter expert advising traders and portfolio managers on optimal execution strategies based on quantitative analysis of market conditions, liquidity profiles, and venue performance to balance market impact and transaction costs.Implement Trade Analytics Framework: Create dashboards and analytical tools to measure execution quality, transaction cost analysis (TCA), market impact, and slippage across various trading venues.Lead Cross-functional Projects: Coordinate with traders, portfolio managers, and technology teams to implement trading analytics solutions that address business requirements.Required qualifications, capabilities, and skills
Advanced Python Programming: Strong proficiency in Python with experience in data analysis libraries (pandas, NumPy), visualization tools (matplotlib, seaborn).Financial Database Expertise: Experience with databases and high-performance queries for analyzing tick/market data and trading records.Trading Knowledge: Demonstrated experience in market-making, statistical arbitrage, or systematic trading roles with understanding of execution algorithms and trading signals.Technical Communication: Ability to translate complex quantitative findings into actionable trading insights for portfolio managers and trading desk leadership.Market Microstructure Knowledge: Expertise in any of equities, fixed income, FX, derivatives, and alternative assets.Version Control Systems: Hands-on experience with Git and collaborative development workflows.Applied ML for Trading: Experience implementing reinforcement learning, natural language processing, or deep learning techniques for trade signal generation or execution optimization.Preferred qualifications, capabilities, and skills
Financial Certifications: CFA, CQF, or FRM certification demonstrating quantitative finance and risk management expertise.Trading System Architecture: Knowledge of Bloomberg EMSX, Refinitiv, Portware, SmartTrade, FlexTrade, or similar OMS/EMS platforms and their data structures for custom integration.Alternative Data Integration: Experience incorporating non-traditional data sources into trading signals and analytics frameworks.