Quantitative Trading Engineer: Auto-Execution & Analytics

Aumni; New York (NY); Sur place; USD 235 000 - 285 000; Plein temps

Résumé du poste

JPMorganChase in New York is seeking a senior developer to engineer and optimize electronic trading systems. You will automate the workflow from signal generation to auto-quoting and execute risk-managed trades across multiple asset classes.

The role requires strong skills in Python/C++, data analysis with SQL and KDB/q, and collaboration with compliance and technology teams to maintain high performance and regulatory alignment.

Qualifications

• Master's degree in Computer Science, Computer Engineering, Mathematics, Quantitative Finance, Electrical and Computer Engineering, or related field plus 3 years of experience in E-Markets or related roles.
• Alternative: Bachelor's degree in one of the related fields plus 5 years of experience in E-Markets or related roles.

Responsabilités

• Automate the electronic trading process from signal generation to auto-quoting and execution risk management.
• Oversee design, implementation, testing, and refinement of electronic trading algorithms for equity markets and futures.
• Collaborate with technology and compliance teams to ensure regulatory and internal policy compliance.
• Develop robust infrastructure and data pipelines for real-time analytics and risk monitoring.

Connaissances

Python

C++

Java

KDB/q

SQL

Formation

Master's degree in Computer Science or related field

Bachelor's degree with 5+ years of experience in related roles

Outils

Matplotlib

Plotly

Jupyter

Description du poste

JPMorganChase in New York is seeking a senior developer to engineer and optimize electronic trading systems. You will automate the workflow from signal generation to auto-quoting and execute risk-managed trades across multiple asset classes.

The role requires strong skills in Python/C++, data analysis with SQL and KDB/q, and collaboration with compliance and technology teams to maintain high performance and regulatory alignment.