Senior Software Engineer – Research Platform

Acquire Me; Greater London; On-site; GBP 90,000 - 130,000; Full time

Job summary

Acquire Me in London is seeking a Senior Software Engineer – Research Platform to help researchers develop, test and deploy trading strategies. You will work on distributed systems and data infrastructure that power the research loop.

The role focuses on making experiments faster, backtesting at scale, and moving successful ideas into production, with close collaboration with quantitative researchers. Applicants should have strong CS fundamentals and experience building production systems, plus

Qualifications

• Strong CS fundamentals and experience building production systems.
• Proficiency in Python, C++ or Java.
• Experience with distributed systems, large-scale data or compute-intensive infrastructure.
• Interest in solving hard engineering problems where performance and correctness matter.

Responsibilities

• Build distributed systems and infrastructure for large-scale quantitative research.
• Increase speed and scale of experimentation and backtesting.
• Improve accuracy, reliability and reproducibility of research workflows.
• Build systems for processing and analysing large volumes of financial data.
• Collaborate with researchers to identify bottlenecks and engineer solutions.
• Shorten the time between a promising research idea and a live trading strategy.

Skills

CS fundamentals

Python

C++

Java

Job description

Senior Software Engineer – Research Platform

A leading quantitative investment firm is building out the research platform that powers how its quantitative researchers develop, test and ultimately deploy new trading strategies.

The engineering goal is to make that research loop faster, more accurate and more scalable: enabling researchers to run more experiments, backtest ideas faster and with greater confidence, and move successful strategies into production sooner.

You'll work on the distributed systems, data and compute infrastructure behind that platform, solving large-scale engineering problems with a very direct connection between the systems you build and the firm's trading performance.

What You’ll Do

• Build distributed systems and infrastructure for large-scale quantitative research
• Increase the speed and scale of experimentation and backtesting
• Improve the accuracy, reliability and reproducibility of research workflows
• Build systems for processing and analysing large volumes of financial data
• Work directly with researchers to identify bottlenecks and engineer solutions
• Help reduce the time between a promising research idea and a live trading strategy

What We’re Looking For

• Strong CS fundamentals and experience building production systems
• Strong Python, C++ or Java
• Experience with distributed systems, large-scale data or compute-intensive infrastructure
• An interest in difficult engineering problems where performance and correctness matter

All conversations strictly confidential.