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Senior Python & Distributed Systems Software Engineer – Elite Quant Hedge Fund

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Onsite

Senior Python & Distributed Systems Software Engineer – Elite Quant Hedge Fund

Winston Fox

Senior Python & Distributed Systems Software Engineer – Elite Quant Hedge Fund

Skills

SQL QueriesRustData EngineeringDockerPythonJavaKafkaAIScalaLinuxKubernetesApache Airflow

2 months ago

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Important information


Contract type:

Permanent

Salary:

£150,000 – £200,000 / year

Location:

London, UK

Work mode:

Onsite

Published on:

11 August 2026

What they need


Python & Distributed Systems Software Engineer the Risk Development team of a world-class Quantitative Hedge Fund.

Due to an internal move, an opportunity has come about for an enthusasitic and deeply technical Software Engineer to join a core team who design, build, and evolve a flexible, scalable, and influential Risk, Portfolio Research and Monitoring platform that is both scalable and resilient with an architecture spanning Python, Java, Scala and C++ on Bare Metal Linux and Kubernetes.

Our client is one of the World's Elite Quant Hedge Fund Managers with large-scale, massively Distributed Systems, and ample opportunity for Engineering-at-Scale on huge, big ticket projects in an environment boasting 100,000+ Kubernetes cores. The business have also recently been benchmarked as one of the UK top-10 most advanced users of Artificial Intelligence.

They boast a highly lean and flat, non-hierarchical business, which has very little in the way of siloes - unlike many of their industry peers - and therefore engineers are fortunate enough to take ownership of projects and relationships end-to-end across the firm. This operating model relies on strong collaboration and communication skills.

Requirements

  • Strong programming skills in Python and at least one programming language (Java, Scala, C++, Rust...), and SQL.
  • Knowledge of distributed systems and messaging technologies (Kafka, Kinesis or similar).
  • Experience with data engineering (Relational databases, building data pipelines, Lakehouse systems, etc).
  • Experience with cloud, container and micro service infrastructures (e.g. Kubernetes, Docker, Helm).
  • Knowledge of data modelling, data warehousing, and ETL design patterns.
  • Experience with workflow orchestration and scheduling platforms (Airflow, Dagster or similar).
  • Real-time system development experience and passionate bout engineering best practice.
  • Good experience appropriately applying AI Tooling (Claude, Codex, Gemini...)

This is an outstanding opportunity to join a highly successful and elite Quantitative Hedge Fund Manager, working with large-scale, bleeding edge technology and collaborating with diverse, world-class colleagues. Compensation is commensurately market leading as is the firm's record of employee retention/tenure. Our client requires a four-day onsite commitment in London SW1.

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