Software Engineer – Realtime Quant Frameworks

Full-Time No home office possible

The role

We operate an advanced systematic client trading platform. Its systems are fully automated, globally distributed and operate at extreme scale — executing millions of trades per day. Ensuring platform resilience, uptime and operational efficiency is mission-critical.

As a Software Engineer in Realtime Quant Frameworks, you’ll play a key role in helping our quant researchers move faster across our large scale compute estate — building systems that reduce the complexity of running workloads across massive compute farms and providing real-time support to keep research running smoothly and efficiently.

A key part of the role focuses on our core scheduling platform, written in F#, which distributes huge workloads across the compute farm and is accessed via Python and .NET SDKs — the main interface our quants use day-to-day.

You’ll contribute to a TypeScript/React UI, backed by an F# ASP.NET service with a Postgres database on Kubernetes, giving real-time visibility into workload progress.

Beyond that, you’ll help extend our tooling and frameworks that enable quants to build and deploy research platforms and express computations over streaming data — creating flexible, high-performance systems that go well beyond the quant finance domain.

Who are we looking for?

The ideal candidate will have the following skills and experience:

An extensive background in software engineering, ideally in distributed or high-performance systems
Experience with F#, C#, Python or similar languages in production environments
Experience working with Python in research or data-driven workflows
Familiarity with modern backend and cloud-native technologies including Kubernetes and relational databases
Strong problem-solving skills and ability to work closely with quantitative researchers