Our client is a $70BN quant hedge fund. Following exceptional performance in 2025, they are continuing to invest heavily in world-class engineering talent.
This role sits within their core engineering team, supporting three core business lines: Trading, Operations, and Finance. The team is responsible for a high-impact roadmap including a new margining platform, cash optimisation tooling, position allocation systems, and expansion into new asset classes such as fixed income.
What makes this role unique is its dual focus: approximately 50% of the work is dedicated to AI engineering, applying advanced machine learning and AI-driven approaches to optimise financial workflows, enhance decision-making, and build intelligent automation across the platform. The remaining scope covers high-performance distributed systems engineering in a mission-critical environment.
The team is led by a highly respected engineering manager who also serves as the firm’s Head of AI Governance, offering a rare opportunity to work at the intersection of cutting-edge AI development and responsible, enterprise-scale AI deployment.
Having partnered with this group for several years, I can confidently say they are among the strongest technical teams I’ve worked with combining deep engineering excellence with a genuinely collaborative and high-performing culture.
Tech Stack: C# or Java, Distributed Systems, SQL, Kubernetes, Spark, Kafka/Flink, alongside modern AI/ML tooling and frameworks.
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