Head of ML / Head of Quant Research (Crypto Trading)

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.

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).

• 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.