Job Description
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 across all asset classes through our global network of investment professionals. Wealth Management supports individuals, families, and foundations in managing their wealth to achieve their financial goals.
Employer Description
J.P. Morgan is a global leader in financial services, offering strategic advice and products to prominent corporations, governments, wealthy individuals, and institutional investors. We focus on building trusted, long-term relationships to help our clients succeed. We value the diverse talents of our global workforce and are committed to equal opportunity employment, making reasonable accommodations for applicants and employees as required by law.
Job Summary
The Trading Research team focuses on quantitative analysis of trading performance and strategy development, including transaction cost analysis (TCA), enhancing systematic trading and automation, and supporting trading desks. The team is global, with members in New York, London, Hong Kong, and Mumbai, utilizing a worldwide trading analytics platform. We seek a talented VP-level candidate in London.
Job Responsibilities:
* Quantitative Trading Research: Design and execute research projects analyzing market data to identify signals, optimize execution strategies, and improve trading metrics.
* Optimize Trading: Collaborate with traders to enhance our systematic trading platform using statistical models and machine learning.
* Provide Execution Consultancy: Advise traders and portfolio managers on optimal execution strategies based on market conditions, liquidity, and venue performance, balancing market impact and transaction costs.
* Implement Trade Analytics Framework: Develop dashboards and tools to measure execution quality, TCA, market impact, and slippage across trading venues.
* Lead Cross-functional Projects: Coordinate with traders, portfolio managers, and tech teams to implement trading analytics solutions aligned with business needs.
Required Qualifications, Capabilities, and Skills
* Advanced Python Programming: Proficiency in Python, including pandas, NumPy, matplotlib, seaborn.
* Financial Database Expertise: Experience with databases and high-performance queries analyzing tick data and trading records.
* Trading Knowledge: Experience in market-making, statistical arbitrage, or systematic trading, with understanding of execution algorithms and signals.
* Technical Communication: Ability to convey complex quantitative insights to traders and leadership.
* Market Microstructure Knowledge: Expertise in equities, fixed income, FX, derivatives, or alternative assets.
* Version Control Systems: Experience with Git and collaborative workflows.
* Applied ML for Trading: Experience with reinforcement learning, NLP, or deep learning techniques for trade signals or execution optimization.
Additional Qualifications:
* Financial Certifications: CFA, CQF, or FRM.
* Trading System Architecture: Knowledge of Bloomberg EMSX, Refinitiv, Portware, SmartTrade, FlexTrade, or similar platforms.
* Alternative Data Integration: Experience incorporating non-traditional data sources into trading analytics.
J.P. Morgan Asset & Wealth Management delivers industry-leading investment management and private banking solutions. Asset Management offers strategies across all asset classes via a global network. Wealth Management assists individuals and families in managing their wealth to meet their goals.
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