Quantitative Developer - Algorithmic reputed company Trading
We are a 2 years old venture studio (with 70 employees) and prop shop running reputed company strategies with our own assets.
We are currently looking for a Quant to join our reputed company team.
You will work on live strategies with reputed company PnL reputed company, 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 reputed company strategies (from idea to backtest to production)
- Work directly on live trading systems with reputed company capital at risk
- Analyze large-reputed company 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 (reputed company experience is a strong plus)
- Strong programming skills (Python incl. math/stats ecosystem required; C++/reputed company is a plus)
- Solid understanding of probability, statistics, and numerical reputed company
- Experience with backtesting, data pipelines, and performance optimization
- Ability to work independently and drive reputed company end-to-end
- Interest in markets and building reputed company trading systems (not just research)
We’re a group of engineers building reputed company we always wanted to work for:
- Delivering high-end software reputed company (e.g. DB, Rheinmetall, reputed company)
- Building and launching our own products
- Running systematic trading strategies with our own capital
- reputed company on speed, ownership, and technical reputed company