Java Developer - Risk Platform

Position: Java Developer - Risk Platform (Permanent)
Java Developer - Risk Platform (Equity & Equity Derivatives)

Overview

A top-tier Investment Bank is seeking a talented Java Developer to join its Front Office Risk Technology team. You will help design and enhance a high‑performance used across trading, structuring, and quantitative research. This is a hands-on engineering role where you will work on scalable services, real-time risk calculations, and complex data pipelines that support high-volume trading activity.

Key Responsibilities

Design, build, and optimise Java-based risk platform components used for real-time and end-of-day risk calculations.
Work closely with Equity and Equity Derivatives trading desks, quants, and risk managers to deliver robust, high-quality solutions.
Develop low-latency, scalable services for pricing, market data, and risk aggregation.
Implement new features to support regulatory changes, new trading strategies, and expanded product coverage.
Collaborate on architectural improvements aimed at enhancing system performance, resiliency, and throughput.
Ensure code quality through automated testing, code reviews, and best engineering practices.
Support production systems and participate in rapid troubleshooting for high-impact issues.

Required Experience

Strong core Java development skills (Java 11+, multithreading, collections, performance tuning).
Experience building distributed systems or microservices in a mission‑critical environment.
Background in financial markets, ideally within Equities or Equity Derivatives.
Familiarity with risk concepts such as Greeks, P&L, scenario analysis, VaR, or exposure metrics (helpful but not mandatory if technically strong).
Experience working with messaging systems, event-driven architectures, or real-time data feeds.
Good understanding of databases (SQL/No

SQL) and caching solutions.
Ability to engage effectively with Front Office users in a fast-paced, high-pressure environment.

Desirable Skills

Knowledge of pricing models or quantitative libraries.

Experience with cloud technologies (AWS, GCP, Azure) or containerisation (Docker, Kubernetes).
Exposure to Kotlin, Scala, or Python for tooling and integration.
Familiarity with CI/CD pipelines and automated testing frameworks.
Understanding of large-scale distributed risk systems.

If you are looking for an opportunity to contribute to the evolution of a strategic risk platform, then apply now to avoid disappointment.

To find out more about Huxley, please visit

Huxley, a trading division of SThree Partnership LLP is acting as an Employment Business in relation to this vacancy | Registered office | 8 Bishopsgate, London, EC2N 4BQ
, United Kingdom | Partnership Number | OC(phone number removed) England and Wales