Senior Python Quant Developer — Systematic Equities

JPMorgan Chase & Co.; Greater London; On-site; GBP 70,000 - 90,000; Full time

Job summary

A leading financial services provider in Greater London is seeking a Python Quant Dev Associate to enhance and deliver technology products within Systematic Equities Trading Technology. This role requires 5+ years in software engineering, advanced Python skills, and experience with data pipelines and market data processing. You will provide technical guidance, partner with trading teams, and support quantitative research. An ideal candidate will have a strong understanding of the financial services industry and a commitment to agile development practices.

Benefits

Diversity and inclusion initiatives

Equal opportunity employer

Qualifications

• 5+ years of applied experience in software engineering.
• Hands-on experience in system design and application development.
• Ability to tackle design problems with minimal oversight.
• In-depth knowledge of the financial services industry.
• Proficiency in continuous delivery methods.

Responsibilities

• Provide technical guidance to support business and technical teams.
• Build and support integrated alpha research and backtesting platforms.
• Design and implement front-office systems for quant trading.
• Influence peers to adopt leading-edge technologies.

Skills

Expertise in Python

Knowledge of data pipelines

Proficiency in automation techniques

Hands-on experience in software engineering

Knowledge of statistics and machine learning

Education

Academic experience in Computer Science

Tools

Pandas

Numpy

Java

C++

Job description

A leading financial services provider in Greater London is seeking a Python Quant Dev Associate to enhance and deliver technology products within Systematic Equities Trading Technology. This role requires 5+ years in software engineering, advanced Python skills, and experience with data pipelines and market data processing. You will provide technical guidance, partner with trading teams, and support quantitative research. An ideal candidate will have a strong understanding of the financial services industry and a commitment to agile development practices.