Remote Jobs RockRemote Jobs Rock

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

πŸ•’ 17 days ago
Machine LearningQuantitative ResearchCrypto TradingPython
Apply Now

πŸ“œ Description

  • Own the research pipeline, model architecture, signal generation, and risk limits.
  • Design, backtest, and deploy machine-learning models and quantitative trading strategies.
  • Optimize execution algorithms and improve live strategy performance.
  • Scale capital under management.
  • Lead, mentor, and grow a team of quant researchers and developers.

πŸ› οΈ Requirements

  • 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.
  • 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.
Full 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.
Redhorsecorp

AI/ML Modeling Team Lead

πŸ•’ 8 days ago
RedhorsecorpπŸ‘₯ 201 - 500 employees🏒 Information Technology And Services

Lead a modeling team delivering governed, explainable AI/ML solutions that use aircraft maintenance records and sensor data to predict failures, optimize maintenance schedules, and improve fleet availability.

Machine LearningData ScienceAdvanced AnalyticsPredictive Modeling
Gridware

Senior Manager, Machine Learning

πŸ“… Jul 9
Gridware🏒 Energy🀝 B2B

Lead and coach the cloud machine learning team, setting its technical roadmap and modeling strategy while contributing to production algorithms for automated hazard detection.

Machine LearningDeep LearningClassical Machine LearningStatistical Learning
InPost

Head of ML & MLOps Engineering - Fintech Engineering

πŸ•’ 16 days ago
InPostπŸ‘₯ 201 - 500 employees🏒 Logistics And Supply Chain

Lead the ML and MLOps function from the ground up, building a regulated production platform and teams that deliver explainable, validated models with measurable business impact.

Machine LearningMlopsCredit ScoringUnderwriting Modeling
Thorn

Director of Machine Learning & Artificial Intelligence

πŸ“… Sep 28
ThornπŸ‘₯ 51 - 200 employees🏒 Non-profit Organization Management

Lead Thorn’s Machine Learning and AI function, setting technical strategy, developing an established team, and guiding cross-functional work to deliver reliable, responsible ML capabilities for child safety.

Machine LearningArtificial IntelligenceData ScienceContent Detection
Treeswift

Machine Learning Engineering Team Lead

πŸ•’ 11 days ago
Treeswift🏒 Technology🀝 B2B

Lead the machine learning team and own model quality, training and inference pipelines, and edge deployment, partnering across software, robotics, hardware, and product to turn sensor data into actionable insights.

Machine LearningDeep LearningPytorchScikit-learn

Trusted by Remote Workers