Location: Serbia; Cyprus; London, United Kingdom; Amsterdam, Netherlands; Singapore; Georgia
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.
Контакты работодателя доступны по кнопке «Откликнуться» после входа.