JPMorgan Asset Management - Investment platform 

United Kingdom, England, London 

650797061

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

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.