Quantitative Developer - Algorithmic Options Trading

We are a 2 years old venture studio (with 70 employees) and prop shop running options strategies with our own assets. We are currently looking for a Quant to join our core team. You will work on live strategies with real PnL impact, in a small, technical team with high ownership and fast iteration cycles. You will work on a combination of software engineering + quantitative thinking. This is an opportunity to shape both the trading systems and the broader platform. Tasks Design and implement systematic options strategies (from idea to backtest to production) Work directly on live trading systems with real capital at risk Analyze large-scale market data to identify inefficiencies and new signals Improve execution, latency, and robustness of existing strategies Own the full lifecycle: research, validation, deployment, monitoring Continuously iterate on models, risk management, and portfolio construction Requirements 2-5 years experience in quantitative development or algorithmic trading (options experience is a strong plus) Strong programming skills (Python incl. math/stats ecosystem required; C++/Scala is a plus) Solid understanding of probability, statistics, and numerical methods Experience with backtesting, data pipelines, and performance optimization Ability to work independently and drive ideas end-to-end Interest in markets and building real trading systems (not just research) We’re a group of engineers building the company we always wanted to work for: Delivering high-end software projects (e.g. DB, Rheinmetall, Miele) Building and launching our own products Running systematic trading strategies with our own capital Focused on speed, ownership, and technical excellence