Software Engineer – Research Platform

Acquire Me; Greater London; On-site; GBP 90,000 - 150,000; Full time

Job summary

Acquire Me is expanding its quantitative research infrastructure in London. You will design and build distributed systems, data and compute platforms to accelerate backtesting and idea validation for trading strategies.

You will work closely with researchers to identify bottlenecks and implement scalable, robust solutions, with a focus on performance and correctness in a fast-moving financial environment.

Qualifications

• Strong CS fundamentals and production systems experience.
• Experience with distributed systems, large-scale data or compute infrastructure.
• Interest in solving performance-sensitive engineering problems.

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 analyzing large volumes of financial data.
• Collaborate with researchers to identify bottlenecks and engineer solutions.
• Help shorten the cycle from research idea to live trading strategy.

Skills

Python

C++

Java

Job description

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.