Low-Latency Automated Trading Researcher

JPMorgan Chase & Co.; New York (NY); On-site; USD 235,000 - 285,000; Full time

Job summary

JPMorgan Chase & Co. in New York seeks a skilled quantitative trader engineer to automate electronic trading from signal generation to execution risk management, focusing on speed, reliability and robustness of platforms.

Role requires advanced degree and 3+ years in E-Markets or related roles, plus proficiency in Python/Java/C++, KDB/q, SQL, and real-time analytics; you will work with tech teams to ensure scalable trading systems and effectively communicate insights to technical and

Qualifications

• Master's degree in related field with 3 years of experience in E-Markets or similar.
• Alternative: Bachelor's in related field with 5 years of experience.
• Strong programming, data analysis and quantitative research skills required.

Responsibilities

• Automate electronic trading from signal to execution and risk management.
• Design, test, and refine equity, futures, FX, commodities, and indices algorithms.
• Monitor performance, set parameters, and optimize to reduce slippage.
• Collaborate with control, compliance and technology teams; communicate insights to stakeholders.

Skills

Python

Java

C++

KDB/q

SQL

Data analysis

Trading systems

Education

Master's degree in CS/CE/Math/Quant Finance

Bachelor's degree in CS/CE/Math/Quant Finance

Tools

KDB/q

SQL

Matplotlib

Plotly

Jupyter

FIX protocol

Job description

JPMorgan Chase & Co. in New York seeks a skilled quantitative trader engineer to automate electronic trading from signal generation to execution risk management, focusing on speed, reliability and robustness of platforms.

Role requires advanced degree and 3+ years in E-Markets or related roles, plus proficiency in Python/Java/C++, KDB/q, SQL, and real-time analytics; you will work with tech teams to ensure scalable trading systems and effectively communicate insights to technical and