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
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
Tech Stack & Hard Skills
Python (NumPy, Numba)
PyTorch or JAX (for the ML track) OR advanced backtesting/quantitative modeling frameworks (for the Quant track)
Proven track record of developing profitable ML models or quantitative trading strategies in production
Nice to Have
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)
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
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