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

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Posted Oct 22, 2026

Remote · US · Serbia Full Time
Est. $180K – $350K/yr

Overview

The organization is seeking 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).

This role involves taking over a live, operating production ML trading system with existing Capital Under Management and leading a dedicated research team.

Responsibilities

  • Full ownership of the research pipeline: control 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.

Preferred Qualifications

  • 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).

Compensation & Benefits

  • Competitive fixed salary.
  • PnL share (individual agreement).
  • Direct influence on risk limits, capital allocation, and research roadmap.

Location

  • Remote work or office in Serbia, with official contracting via Dubai / Serbia.