Senior Quant Researcher — ML-Driven Crypto Alpha

ALGOQUANT; United States; On-site; USD 180,000 - 280,000; Full time

Job summary

AlgoQuant Asset Management is seeking a Senior Quant Researcher with deep ML/DL expertise to lead alpha research across digital asset markets, including on-chain data. This role is highly autonomous, with ownership from problem framing to live deployment.

You will advance state-of-the-art techniques, build production-grade research pipelines, and collaborate with engineers to translate research into scalable trading signals while maintaining rigorous validation and performance attribution.

Qualifications

• PhD or equivalent in ML/CS/Statistics/Physics/Math required.
• Hands-on implementation experience with modern ML/DL techniques beyond theory.
• Live, capital-at-risk ML deployments with attributable P&L or out-of-sample performance.
• Rigorous model validation addressing overfitting, regime change, data leakage, non-stationarity.
• Strong programming in Python; C++ or Rust a plus for production.

Responsibilities

• Design and deploy advanced ML/DL models for alpha signal generation across digital asset markets.
• Work across the full model stack: feature engineering, architecture selection, training and validation regimes, and live signal monitoring.
• Apply and adapt state-of-the-art techniques — transformers, graph neural networks, reinforcement learning, ensemble methods — to financial prediction problems.
• Build robust, production-grade research pipelines with rigorous measures to prevent lookahead bias and data leakage.
• Analyse microstructure, order flow, and cross-venue dynamics to enrich feature sets and improve signal quality.
• Collaborate with engineers to move models from research to production infrastructure.
• Mentor junior researchers and raise the bar for statistical rigour across the team.
• Contribute to shared research infrastructure, tooling, and datasets.

Skills

Python

ML/DL

C++

Rust

Transformers

Graph Neural Networks

Reinforcement Learning

Model Validation

P&L Live Trading Experience

Education

PhD or equivalent in ML/CS/Statistics/Physics/Math

Tools

XGBoost

LightGBM

Job description

AlgoQuant Asset Management is seeking a Senior Quant Researcher with deep ML/DL expertise to lead alpha research across digital asset markets, including on-chain data. This role is highly autonomous, with ownership from problem framing to live deployment.

You will advance state-of-the-art techniques, build production-grade research pipelines, and collaborate with engineers to translate research into scalable trading signals while maintaining rigorous validation and performance attribution.