Algo Trading & Quant Research Associate

JPMorgan Chase & Co.; New York (NY); On-site; USD 120,000 - 190,000; Full time

Benefits offered by this job

Health care coverage

On-site health centers

Retirement savings plan

Backup childcare

Tuition reimbursement

Mental health support

Financial coaching

Job summary

JPMorgan Chase & Co. in New York seeks an Associate for the Quantitative Trading & Research - e-Trading team. You will design and implement execution algorithms, applying quantitative research and data analytics to client solutions across multiple functions in eTrading.

Collaborate with quant researchers, the algo development and product teams to deliver global solutions, and work on portfolio scheduling improvements for single stocks and portfolios in the algo engine.

Qualifications

• Master's in STEM field (computer science, engineering, mathematics/statistics, or physics).
• Experience with optimization techniques relevant to trading strategies.
• Proficiency in Python, Java or C++.
• Experience on an algorithmic trading platform.
• Strong analytical, quantitative and problem-solving skills.

Responsibilities

• Solve and implement numerical algorithms for optimization in trade scheduling.
• Build robust production algorithms for the algo trading engine with technology partners.
• Explain model and algorithm behavior and develop statistical tools.
• Validate production implementations against research specifications.
• Collaborate with quant researchers and trading desks to refine models and strategies.
• Design and build client-centric solutions with product teams.

Skills

Python

Java

C++

Optimization techniques

Algorithmic trading

Quantitative analysis

Communication skills

Residency/Work authorization

Education

Master's in STEM

PhD (preferred)

Tools

q/kdb

AWS

Job description

JPMorgan Chase & Co. in New York seeks an Associate for the Quantitative Trading & Research - e-Trading team. You will design and implement execution algorithms, applying quantitative research and data analytics to client solutions across multiple functions in eTrading.

Collaborate with quant researchers, the algo development and product teams to deliver global solutions, and work on portfolio scheduling improvements for single stocks and portfolios in the algo engine.