Global Equities Algo Trading & Execution Consultant

Testing Site - JPMC; New York (NY); Presencial; USD 160.000 - 220.000; Jornada completa

Descripción de la vacante

J.P. Morgan in New York seeks an experienced product leader for the Electronic Client Solutions (ECS) team focused on equities algorithmic trading. You will define strategic initiatives across the Americas, partner with clients, and translate insights into optimized trading solutions.

The role requires strong client communication, deep quantitative skills, and hands-on work with q/KDB and Python to enhance analytics, TCA, and execution quality for institutional clients.

Formación

• Bachelor's degree or higher in a quantitative field.
• 5+ years of equities electronic trading experience.
• Strong communication and client-facing skills.
• Robust quantitative and analytical capabilities.
• Hands-on experience with data and analytics reporting tools.

Responsabilidades

• 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.

Conocimientos

5+ years equities electronic trading

client-facing communication

quantitative analytics

q/KDB

Python

data and analytics reporting

professional maturity

Educación

Bachelor’s degree in Finance, Economics, Mathematics, Engineering, Computer Science, or related quantitative field

Herramientas

q/KDB

Python

Descripción del empleo

J.P. Morgan in New York seeks an experienced product leader for the Electronic Client Solutions (ECS) team focused on equities algorithmic trading. You will define strategic initiatives across the Americas, partner with clients, and translate insights into optimized trading solutions.

The role requires strong client communication, deep quantitative skills, and hands-on work with q/KDB and Python to enhance analytics, TCA, and execution quality for institutional clients.