Job Specifications
Python Distributed Systems Engineer – Quantitative Trading Technology
Location: London
Compensation: Circa £250,000 Total Compensation (Base + Bonus)
Company:
I’m currently working with a global-leading multi-strat investment firm operating at scale — thousands of strategies, millions of data points per second, sitting at the intersection of technology and quantitative research. They build cutting-edge distributed systems that power real-time trading, risk management, and data analytics across global markets.
The Role:
Currently looking for an exceptional Python Engineer to design, implement, and optimize distributed systems that underpin the global quantitative trading platform.
You’ll work alongside world-class developers, quantitative researchers, and infrastructure experts to build low-latency, fault-tolerant, and highly scalable systems. This is an opportunity to work on projects where milliseconds and megabytes matter — and where your code directly contributes to business performance.
What You’ll Do
Architect and implement distributed data pipelines and compute frameworks in Python
Build services that handle high-throughput event streams and large-scale time-series data
Collaborate with quant teams to integrate new datasets, models, and analytics tools
Optimize performance for latency, throughput, and reliability
Contribute to the continuous evolution of our engineering culture — automation, CI/CD, observability, testing
What We’re Looking For
4+ years of experience in Python (asyncio, multiprocessing, FastAPI, or similar frameworks)
Solid understanding of distributed systems concepts: messaging, consensus, data partitioning, fault tolerance
Experience with technologies such as Kafka, Redis, gRPC, Kubernetes, Ray, or Dask
Strong background in Linux environments and performance tuning
A passion for clean code, automation, and technical excellence
Exposure to financial data, trading systems, or high-frequency environments is a strong plus
Please contact daniel.mclagan@stanfordblack.com for more information.
If this role isn't right for you, but you know of someone who might be interested, we have a market-leading referral scheme in place to thank anyone who refers a friend who is successfully placed! T&Cs apply.
About the Company
Stanford Black is one of London's leading technology and trading recruitment firms; with all of the experience, resources and contacts you need to take full advantage of today's fast moving business environments.
Stanford Black connects leading hedge funds, proprietary trading firms, investment banks, scientific research houses, big data analytics firms and ambitious tech start-ups with the highest calibre professionals at every level.
We source only the best candidates from an array of backgrounds and institutions and a...
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