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

MIRA CONSTRUCTION L.L.C · posted Oct 22, 2026

Open to candidates in Cyprus, Georgia, Netherlands, Serbia, Singapore and United Kingdom

Full-time · Lead

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What this job asks for

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Must have

•Degree in CS/Math/Data Science from top-tier university
•Strong foundation in probability, statistics, linear algebra, algorithms
•Python (NumPy, Numba)
•PyTorch or JAX OR advanced backtesting/quantitative modeling frameworks
•Proven track record of developing profitable ML models or quantitative trading strategies in production

Nice to have

•Experience in crypto/HFT/algorithmic trading
•Proficiency in C++
•Competitive programming / Kaggle achievements or top-tier publications

Tools and technologies

Python, NumPy, Numba, PyTorch, JAX, C++

Read the full posting

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