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

M I R A L.L.C; Amsterdam; Remote; EUR 180,000 - 280,000; Full time

Benefits offered by this job

Competitive fixed salary

PnL share (individual agreement)

Remote work / international offices

Job summary

MIRAL.LLC is seeking a Head of ML / Head of Quant Research to own and scale ML trading strategies in crypto markets (Spot / Perpetuals). You will lead a live, production ML trading system and a dedicated research team, shaping the roadmap and risk framework.

The role combines hands-on model development with strategic leadership, overseeing alpha generation and execution at scale across international remote setups.

Qualifications

• Degree in CS / Math / Data Science from a top-tier university.
• Strong foundation in probability, statistics, linear algebra, and algorithms.

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.

Skills

Quantitative analysis

Python

ML research

Backtesting

Education

CS/Math/Data Science degree

Tools

Python (NumPy, Numba)

PyTorch or JAX

C++ (reading/profiling)

Job description

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