About this role
We are looking for a Head of ML / Head of Quant Research to take full ownership of developing and scaling machine learning trading strategies in crypto markets (Spot / Perpetuals).
You will take over a live, operating production ML trading system with existing Capital Under Management and lead a dedicated research team.
Key Responsibilities
- Full Ownership: Take complete control of the research pipeline, model architecture, signal generation, and risk limits.
- Alpha Generation: Design, backtest, and deploy new profitable ML models and quantitative trading strategies.
- Execution & Scaling: Optimize execution algorithms, refine live strategy performance, and scale capital under management.
- Leadership: Lead, mentor, and grow a team of quant researchers and developers.
Requirements
Education & Mathematical Background:
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Degree in CS / Math / Data Science from a top-tier university (MIPT, HSE, MSU, SPbSU, ITMO, YSDA, or international equivalents).
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Strong foundation in probability, statistics, linear algebra, and algorithms. Tech Stack & Hard Skills:
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Python (NumPy, Numba).
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PyTorch or JAX (for the ML track) OR advanced backtesting/quantitative modeling frameworks (for the Quant track).
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Proven track record of developing profitable ML models or quantitative trading strategies in production. Nice to Have:
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Experience in crypto/HFT/algorithmic trading (Order Book dynamics, L2/L3 data, funding rate arbitrage, liquidations).
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Proficiency in C++ (reading, profiling, and optimizing performance).
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Competitive programming / Kaggle achievements (IMO, IOI, ICPC, Codeforces, Kaggle Master/GM) or top-tier publications (NeurIPS, ICML, ICLR).
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English: A2+ (Internal team communication is in Russian; fluent spoken English is not required).
Benefits
- Competitive fixed salary.
- PnL share (individual agreement).
- Direct influence on risk limits, capital allocation, and research roadmap.
- Remote work or office in Serbia, official contracting via Dubai / Serbia.