Job Description
As a Quantitative Software Engineer (Quant Dev) at Luno, you will design, build, and operate the high-performance systems and mathematical models that underpin our trading, pricing, and market-making capabilities.
You will sit at the intersection of quantitative research and production engineering, translating quantitative ideas, models, and strategies into robust, low-latency, production-grade systems that operate reliably in a 24/7 global market. Your work will directly impact liquidity, pricing quality, risk management, and customer outcomes.
Your mission will be: Quantitative Strategy Engineering Partner closely with quantitative researchers to implement, optimise, and productionise trading and pricing models. Trading & Market Systems Build and evolve market-making, pricing, and execution logic across crypto markets. Configuration: Add and refine console parameters to optimise for volume, spread, profit, or rebalancing. Performance, Quality & Risk Profile, benchmark, and optimise code paths critical to trading performance. Ownership & Delivery Own initiatives end-to-end: design, implementation, testing, deployment, and monitoring. Collaboration & Coaching Act as a bridge between quantitative research and engineering teams. A little about you Experience Proven experience as a software engineer, with exposure to or strong interest in quantitative finance, trading systems, or financial infrastructure. Experience working with trading models, pricing systems, or data-driven decision engines is a strong advantage. Technical Strength Strong programming skills, particularly in Python, with solid foundation
