Quant Developer

We’re partnering with an ambitious, early-stage quantitative investment firm that’s quietly assembling a world-class engineering and research team. Backed by experienced founders and operating at the intersection of markets, data, and machine intelligence, this fund is building high-performance trading systems across equities, crypto, and futures.They’re now looking to add aQuant Developerwho thrives in a fast-moving start-up environment and wants real ownership over mission-critical trading infrastructure. This is not a siloed role. You’ll sit close to the research, trading, and execution stack, helping to design, build, and scale systems that directly impact P&L from day one.What You’ll DoBuild, maintain, and evolve production-grade trading systemsthat manage and execute orders across multiple MFT strategies and exchanges in equities, crypto, and futuresOptimize performance, reliability, and latencyacross the execution stack, with a strong focus on robustness in live trading environmentsPartner closely with quant and machine learning researchersto continuously refine data pipelines, signals, and execution logicContribute broadly as a hands-on engineer —stepping in across software and quant-development workloads as needed in a demanding startup settingWhat They’re Looking ForStrong experience buildinghigh-performance, production-quality codein a trading or similarly latency-sensitive environmentComfort working acrossmultiple asset classes and exchanges, or the curiosity and ability to ramp up quicklyA pragmatic, problem-solving mindset—someone who enjoys shipping, iterating, and improving real systemsThe flexibility and ownership mentality required to succeed at an early-stage fundTechnical RequirementsStrong BSc, MSc or PhD academic background in Machine Learning, Computer Science or EngineeringAdvanced Python skills; experience with PyTorch, TensorFlow, NumPy, pandas, scikit-learnNice to HaveC++ or other low-level language experienceExperience with distributed computing or large-scale data pipelinesPrior experience in systematic trading, prop trading or quant fundsEquities mid-frequencyWhy Join? Start-up culture with genuine roadmap to $1billion AUMEquity on offer alongside excellent base plus bonusMachine learning is core to the investment process, not an overlayExposure to multiple asset classes within a unified research frameworkOpportunity to influence model design, data architecture and research standards