Senior Quant Researcher (Crypto)

TL;DR

Senior Quant Researcher (Crypto): Developing next-generation alpha signals for digital asset markets using advanced ML and DL techniques with an accent on non-linear signal generation across spot, derivatives, and on-chain data. Focus on implementing transformer architectures, GNNs, and RL to turn raw predictive signals into live, capital-weighted strategies.

Location: UAE (Dubai preferred), UK (London), USA (New York), EU, or ASIA

Company

hirify.global Asset Management is a multi-strategy digital asset manager allocating capital across 25+ internal and external quantitative trading pods.

What you will do

• Design and deploy advanced ML and DL models (Transformers, GNN, RL, Ensemble methods) for alpha signal generation in digital asset markets.
• Manage the full model stack, including feature engineering, architecture selection, training, validation, and live signal monitoring.
• Build production-grade research pipelines with a rigorous approach to preventing lookahead bias, data leakage, and overfitting.
• Analyze market microstructure, order flow, and cross-venue dynamics to enrich feature sets and improve signal quality.
• Collaborate with engineers to transition models from research to production infrastructure.
• Mentor junior researchers and raise the standard for statistical rigor across the research team.

Requirements

• PhD or equivalent research depth in machine learning, statistics, physics, mathematics, or computer science.
• Hands-on implementation experience with transformers, attention mechanisms, graph neural networks, boosting algorithms (XGBoost, LightGBM), and reinforcement learning.
• Proven track record of applying ML in a live, capital-at-risk environment with attributable P&L or measurable out-of-sample performance.
• Expertise in model validation and handling failure modes such as overfitting, regime change, and non-stationarity.
• Strong programming skills in Python.
• Experience working with large, complex, or unconventional datasets.

Nice to have

• Proficiency in C++ or Rust for production performance.
• Experience with on-chain data.
• Prior exposure to crypto markets and curiosity about digital asset market structure.