Junior Quantitative Researcher | Options
BlockTechAbout the Role
BlockTech is a fast-paced algorithmic trading firm at the frontier of global cryptocurrency derivatives and spot markets, trading 24/7 across some of the most data-rich venues in finance.
As a Quantitative Researcher on the trading floor, you will own ideas end-to-end from hypothesis and dataset construction through feature engineering, model training and backtesting, all the way to live deployment, monitoring, and iterative improvement.
You will sit shoulder-to-shoulder with Quantitative Traders and Quantitative Analysts, and your work will directly drive how the firm prices and trades.
- Collaborate closely with traders to translate research insights into systematic trading strategies
- Design, develop and deploy models for price prediction, signal generation, execution, and anomaly detection across crypto derivatives and spot markets using state-of-the-art AI and ML techniques
- Build robust trading, backtesting and research infrastructure alongside our engineers, so promising ideas can move into production quickly and safely
- Own models in production: monitoring live performance, diagnosing decay, and iterating on what you ship
Requirements
- A strong academic background in a quantitative discipline (Mathematics, Physics, Statistics, Computer Science, Econometrics, ML/AI, or similar), typically a PhD or an MSc with strong research experience
- Fluency in Python and the modern ML stack (PyTorch and/or TensorFlow, scikit-learn, NumPy, pandas)
- A deep, intuitive grasp of overfitting, generalization, validation design, and feature engineering - you can explain why a model works, not just that it does
- Solid software engineering instincts: you write code that other people can read, test, and run in production
- Genuine curiosity about financial markets and market microstructure - prior finance experience is welcome but not required
- Clear written and verbal English, and the ability to communicate complex ideas to a mixed audience of researchers, engineers, and traders
- Nice to have: Hands-on experience building and deploying ML models, ideally on time-series, forecasting, or anomaly detection problems
- Nice to have: Familiarity with crypto markets, derivatives pricing, and/or high-frequency trading data
What You'll Get
- Outstanding performance is rewarded with the opportunity to buy into the trading fund
- Pension plan, company laptop, and reimbursement of your internet costs at home
- An extensive in-house training program and an annual learning & development budget
- Gym membership reimbursement and the opportunity to engage in various sports during working hours, including kickboxing, CrossFit, fitness, and soccer
- Regular social events, including weekly Friday drinks, monthly outings, quarterly sports competitions and bi-annual trips abroad
- Daily breakfast and warm lunch. Additionally, snacks and drinks are provided throughout the day
- For internationals: All-in relocation package and Dutch classes