Quantitative Developer — Trading Desk Infrastructure (Python)

Mondrian Alpha; Greater London; On-site; GBP 340,000 - 460,000; Full time

Benefits offered by this job

Healthcare package

Fully subsidised qualifications

Breakfast & lunch provided

Job summary

Mondrian Alpha in London seeks an experienced Quantitative Developer to sit on a desk with a Portfolio Manager, building and enhancing trading and research infrastructure to support the investment strategy. You will work closely with quantitative researchers to develop and implement algorithms and help with strategy optimisation.

The role requires strong Python, 5+ years on-desk experience designing live trading systems, and familiarity with execution/OMS connections, SQL, and large datasets.

Qualifications

• Strong Python expertise and 5+ years on-desk experience building live trading infrastructure.
• Experience connecting to execution/order management systems.
• Proficiency with SQL, database design, and handling large datasets.
• Ability to work independently and in a small team while upholding high ethical standards.
• Master’s in computer science or software engineering.

Responsibilities

• Sit on the trading desk and work with a new portfolio manager to build and enhance trading/research infrastructure.
• Collaborate with quantitative researchers to develop and implement algorithms and optimise strategies.
• Interact with Traders and Senior Management as part of a high-performance investment team.

Skills

Python

Trading infrastructure

Execution systems

SQL

Large datasets

Ownership

Ethics

Education

Master’s in CS/SE

Job description

Mondrian Alpha in London seeks an experienced Quantitative Developer to sit on a desk with a Portfolio Manager, building and enhancing trading and research infrastructure to support the investment strategy. You will work closely with quantitative researchers to develop and implement algorithms and help with strategy optimisation.

The role requires strong Python, 5+ years on-desk experience designing live trading systems, and familiarity with execution/OMS connections, SQL, and large datasets.