Algorithm Engineer (C++ & Python)

Durlston Partners; Greater London; On-site; GBP 110,000 - 160,000; Full time

Job summary

Durlston Partners in London is seeking a Quant Research engineer to analyse data, build models and signals for alpha generation, and help manage risk within a small, high-performance team. The role emphasizes developing scalable software and production-grade solutions used in live trading.

You will collaborate with Quants, Traders and Developers to research, develop and test execution and trading models, and contribute to a robust research infrastructure for tick-level data across multiple

Qualifications

• Excellent C++, strong Python skills, and experience deploying code in production environments where performance matters.
• A Computer Science degree from a top 20 university.

Responsibilities

• Develop software solutions that leverage sophisticated statistical techniques and technologies to answer the most challenging questions in finance.
• Collaborate closely with Quants, Traders, and Developers – researching, developing, and testing execution and trading models.
• Enhance and build a research infrastructure that can handle hundreds of thousands of tick-level signals.
• Build a comprehensive, multi-market trading system to capitalize on relative value and statistical arbitrage opportunities.

Skills

C++

Python

Production deployment

Education

Computer Science degree

Job description

Overview

Join a small high-performance Systematic Prop Trading business. Working as part of the Quant Research team, to analyse data, build models & signals for alpha generation, and manage risk.

Responsibilities

• Develop software solutions that leverage sophisticated statistical techniques and technologies to answer the most challenging questions in finance.
• Collaborate closely with Quants, Traders, and Developers – researching, developing, and testing execution and trading models.
• Enhance and build a research infrastructure that can handle hundreds of thousands of tick-level signals.
• Build a comprehensive, multi-market trading system to capitalize on relative value and statistical arbitrage opportunities.

Qualifications

• Excellent C++, strong Python skills, and experience deploying code in production environments where performance matters.
• A Computer Science degree from a top 20 university.