Senior Software Engineer

Software Engineer - Next-Generation Derivatives Risk Platform

Location: London (Hybrid - 1 day/week in office, flexibility for the right candidate)

Day Rate: £850 per day

IR35: Outside

️ Interview Process: Starts 12th November 2025

Start Date: 5th January 2026

CV's are not being reviewed until WC 3rd November

We're partnering with a global investment bank to hire an exceptional Software Engineer to join a flagship team delivering a next-generation, high-performance derivatives risk platform.

This is a mission-critical front-office role working on real-time distributed systems with exceptional technical standards. You'll be part of a high-calibre team solving complex engineering challenges and shaping the future of risk technology across capital markets.

This role commands a £850/day Outside rate because we're only looking for the strongest engineers, those who can operate comfortably at enterprise scale, think architecturally, and deliver under pressure in complex technical environments.

Tech Stack & Environment

You'll work across a diverse range of modern technologies, including:

• Core languages: C#, Python, Rust
• Front end: JavaScript / TypeScript/ Angular/ RX JS
• Infrastructure: Kubernetes, containers, DevOps, CI/CD
• Emerging tech: WebAssembly, AI integration, and AI frameworks
• Systems: Cross-platform, distributed, scalable real-time environments

This is a genuine technologist's role - building critical software that combines engineering precision, scalability, and innovation.

What We're Looking For

• Very strong expertise in one of C#, Python or Java, ideally with working knowledge of another. Rust very desirable
• Proven experience designing and developing complex, distributed, real-time systems.
• Deep understanding of software architecture, concurrency, performance optimisation, and system reliability.
• Demonstrable front-end engineering experience using JavaScript, TypeScript, Angular or React
• Familiarity with containerisation (Kubernetes, Docker) and modern DevOps practices.
• Experience in front-office risk, trading, or analytics systems within financial markets.

Desirable / Highly Valued Skills:

• Exposure to AI and machine learning frameworks (e.g. PyTorch, TensorFlow, or similar).
• Interest in AI-driven automation, predictive analytics, and intelligent risk modelling.
• Experience with Rust, WebAssembly, or cross-runtime architectures.
• Solid grounding in data pipelines, APIs, and distributed messaging systems (Kafka, ZeroMQ, etc.).

Why Apply

This is a flagship product being rolled out across the bank's global capital markets division - you'll have visibility, autonomy, and the chance to shape a platform used by thousands of front-office users.

If you're a genuine technologist who thrives on solving complex problems, exploring modern architectures, and building next-generation systems that blend AI innovation with real-time financial engineering, this is the opportunity you've been waiting for.