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About the Role
Take full ownership of developing and scaling machine learning trading strategies in crypto markets. Lead a dedicated research team for a live, operating production ML trading system with existing Capital Under Management.
Responsibilities
- Take complete control of the research pipeline, model architecture, signal generation, and risk limits.
- Design, backtest, and deploy new profitable ML models and quantitative trading strategies.
- Optimize execution algorithms, refine live strategy performance, and scale capital under management.
- Lead, mentor, and grow a team of quant researchers and developers.
Requirements
- Degree in CS / Math / Data Science from a top-tier university (MIPT, HSE, MSU, SPbSU, ITMO, YSDA, or international equivalents).
- Strong foundation in probability, statistics, linear algebra, and algorithms.
- Proven track record of developing profitable ML models or quantitative trading strategies in production.
- Experience in crypto/HFT/algorithmic trading (Order Book dynamics, L2/L3 data, funding rate arbitrage, liquidations).
- Proficiency in C++ (reading, profiling, and optimizing performance).
- Competitive programming / Kaggle achievements (IMO, IOI, ICPC, Codeforces, Kaggle Master/GM) or top-tier publications (NeurIPS, ICML, ICLR).
- A2+ English proficiency.
Skills
- Python
- NumPy
- Numba
- PyTorch
- JAX
- Advanced backtesting/quantitative modeling frameworks
Location
- Remote
- Serbia
Work Type
- Remote
- Contracting
Experience Level
- Head of ML
- Head of Quant Research
Education Level
- Degree in CS / Math / Data Science
Salary/Compensations
- Competitive fixed salary
- PnL share (individual agreement)
Benefits
- Direct influence on risk limits, capital allocation, and research roadmap.
About the Company
- Developing and scaling machine learning trading strategies in crypto markets (Spot / Perpetuals).
- Operating a live production ML trading system with existing Capital Under Management.