Join a market-leading team shaping the future of electronic trading. In Electronic Client Solutions (ECS), you’ll deliver impactful products and execution advice that help institutional clients navigate complex equity markets.
Job summary You will join the Electronic Client Solutions (ECS) team, the client-facing organization for automated trading capabilities in Cash Equities. ECS builds, manages, and delivers a leading platform for algorithmic execution and liquidity solutions, data and analytics, and low-latency trading for institutional, hedge fund, and systematic trading clients. The team partners closely with clients to provide in-depth transaction cost analysis (TCA) and execution consultations. The ECS product suite is designed to source liquidity effectively across an evolving landscape of liquidity centers, minimize transaction costs, and maintain client anonymity through global algorithmic trading products, differentiated liquidity solutions, global direct market access and smart order routing, and comprehensive pre- and post-trade analytics.
Job responsibilities
- Define and lead product management initiatives across the Americas algorithmic trading product spectrum.
- Engage with clients to understand needs and deliver J.P. Morgan’s algorithmic product suite as well as bespoke solutions.
- Analyze client order flow using transaction cost analysis (TCA) and execution quality metrics to provide actionable insights that optimize trading performance.
- Partner with business analysts, core technology, legal/compliance, operations, and sales and trading teams to optimize product functionality.
- Produce in-depth analysis of product usage, client trends, trading performance, and revenues to drive product evolution and adoption.
- Maintain expertise in equities trading, market structure, and the equities regulatory landscape; ensure adherence to relevant regulatory and control requirements.
- Be an integral ECS team member focused on delivering a positive client experience.
Required qualifications, capabilities, and skills
- Bachelor’s degree in Finance, Economics, Mathematics, Engineering, Computer Science, or a related quantitative field.
- 5+ years of equities electronic trading experience or equivalent, preferably in Algorithmic Trading or Execution Consulting.
- Exceptional written and verbal communication and client-facing skills, with the ability to convey complex concepts concisely and persuasively.
- Strong quantitative and analytical skills; ability to analyze large datasets, identify liquidity trends, and make data-driven decisions.
- Hands-on experience with q/KDB and Python.
- Prior technical experience with data and analytics reporting and platforms.
- Professional maturity and poise in client interactions.
Preferred qualifications, capabilities, and skills
- FINRA Series 57, 7, and 63 registrations a plus.