Equities Algorithmic Trading & Execution Consultant

JPMorgan Chase; New York (NY); On-site; USD 200,000 - 285,000; Full time

Benefits offered by this job

Comprehensive health care coverage

On-site health and wellness centers

Retirement savings plan

Tuition reimbursement

Financial coaching

Job summary

JPMorgan Chase is seeking a skilled candidate for their Electronic Client Solutions team in New York. The role focuses on product management for algorithmic trading, engaging directly with institutional clients to deliver innovative solutions. Candidates should possess a Bachelor's degree in a quantitative field, over 5 years of experience in equities electronic trading, and proficiency in data analysis tools like q/KDB and Python. The position offers a competitive salary ranging from $200,000 to $285,000 per year, along with extensive benefits.

Qualifications

• 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.
• Strong quantitative and analytical skills with the ability to analyze large datasets.

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.
• Analyze client order flow using transaction cost analysis (TCA) and execution quality metrics.

Skills

Equities electronic trading experience

Quantitative analysis

Data-driven decision making

Client-facing communication

Python

Education

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

Tools

q/KDB

Job description

JPMorgan Chase is seeking a skilled candidate for their Electronic Client Solutions team in New York. The role focuses on product management for algorithmic trading, engaging directly with institutional clients to deliver innovative solutions. Candidates should possess a Bachelor's degree in a quantitative field, over 5 years of experience in equities electronic trading, and proficiency in data analysis tools like q/KDB and Python. The position offers a competitive salary ranging from $200,000 to $285,000 per year, along with extensive benefits.