Quant Developer – Java or Python

A high-growth institutional trading business in the digital assets market is expanding its London team and hiring a Quant Developer to join its OTC pricing function. The role offers a rare blend of quantitative research partnership and hands-on production engineering, making it ideal for someone who enjoys solving real market problems in a fast-paced trading environment. Quant Developer – OTC Pricing The successful candidate will work very closely with quantitative researchers, contributing not only to implementation but also to the design and refinement of pricing and liquidity models. The role combines research-oriented modelling in Python with production engineering in Java. You will use Python to analyse data, test ideas and support model development, while using Java to build and enhance high-performance pricing infrastructure used in a live, global trading environment. You will be involved in the development of pricing logic, flow analysis, spread optimisation and automated hedging tools. The role also includes working on distributed systems challenges in a 24/7 multi-region environment, where reliability, consistency and performance are critical. Quant Developer – OTC Pricing * Build and enhance quantitative pricing, hedging and optimisation models within a high-performance Java framework * Use Python for model prototyping, data analysis, signal investigation and backtesting activity * Design and implement automated hedging strategies, taking into account execution risk, liquidity and market impact * Support pricing system deployment across distributed, multi-region architecture with a focus on uptime and consistency * Analyse client trading behaviour, including flow quality, decay and pricing performance, to support more effective pricing decisions * Quant Developer – OTC Pricing * Strong Java development experience, ideally 5+ years * Deep understanding of object-oriented design, concurrency, and high-performance distributed systems * Proficient in Python; Including use of libraries such as NumPy, SciPy and Pandas for quantitative analysis and prototyping * Proven experience applying numerical optimisation techniques and/or machine learning methods to pricing, trading or market-related problems * Strong academic background in a quantitative discipline such as Mathematics, Physics or Quantitative Finance * Quant Developer – OTC Pricing * Familiarity with low-latency system optimisation, such as GC tuning or tools/frameworks used in high-performance messaging environments * Understanding of derivatives pricing and risk management, particularly across products such as futures, forwards, NDFs and CFDs * Exposure to AWS, Docker and Kubernetes…