Lead Risk Developer

Lead Risk Developer - Front Office Risk Systems

Location: London

Type: Permanent or Contract

Compensation: Highly Competitive

Overview

A world-class trading firm is seeking a Lead Risk Developer to help build and evolve its next-generation front office risk platform. The system provides real-time exposure, VaR, and market risk analytics across a range of complex derivatives, enabling traders and quantitative teams to monitor and manage risk with precision and speed.

This platform is designed for front office use, capable of calculating and distributing option sensitivities and exposures in real time. It supports dynamic pricing, stress testing, and scenario analysis for high-volume, data-intensive trading activity.

As Lead Developer, you will drive the architecture and implementation of a cloud native, microservice based risk framework, ensuring scalability, performance, and accuracy across all risk computations. You will collaborate closely with quantitative developers, traders, and other stakeholders to industrialise models and deliver a best-in-class risk capability.

This is a hands-on technical leadership role that combines software engineering excellence with an understanding of complex derivatives and front office risk management. It offers the opportunity to influence the design and direction of a global trading firm's core risk platform.

Key Responsibilities

• Design, develop, and enhance cloud native front-office risk systems supporting pricing, exposure, VaR and P&L analytics.
• Collaborate with quantitative and trading teams to industrialise models and deliver performant solutions.
• Build risk engines for complex instruments including options, credit, and fixed income.
• Develop cloud-native, microservice-based risk infrastructure with high scalability and low latency.
• Provide hands-on technical leadership and mentorship within a distributed team of engineers across multiple global locations.
• Drive architectural improvements, performance optimisation, and best engineering practices.

Technology Environment

• Languages: Python
• Architecture: Cloud-native, containerised microservices (Kubernetes, Docker).
• Infrastructure: Kafka, Terraform, Jenkins, Git, CI/CD pipelines.
• Data: SQL/NoSQL databases, distributed data processing, data lake environments.
• Quant Integration: Comfortable working with quant libraries and APIs.

Ideal Profile

• Built cloud native risk systems that calculate and distribute option sensitivities and exposures.
• Proven background building from scratch or extending front-office risk engines in a structured product trading team.
• Strong software engineering fundamentals and delivery focus.
• Experience leading or mentoring small technical teams.
• Exposure to options, credit or fixed income risk a strong advantage.
• Clear communicator able to partner effectively with quantitative and trading stakeholders.

Why Apply

• Join a world-leading trading business at the forefront of risk technology innovation.
• Shape the evolution of a next-generation risk platform.
• Work on cutting-edge cloud architecture and real-time risk analytics.
• Competitive pay structure, hybrid working, and high visibility role.