Head of Quantitative Research

High Street Resources; United Arab Emirates; On-site; AED 300,000 - 400,000; Full time

Job summary

A digital asset investment manager is seeking a Head of Quantitative Research to define research strategy and build high-performing teams. This senior leadership role involves strategic and hands-on responsibilities, including developing advanced research methodologies and leading the adoption of innovative tooling. The ideal candidate will have an advanced quantitative degree, 8+ years of research experience, and strong proficiency in Python. This role is based in the United Arab Emirates.

Qualifications

• 8+ years in quantitative research with leadership exposure.
• Experience with large-scale data, cloud infrastructure.
• Proficiency in additional low-latency programming languages is a plus.

Responsibilities

• Define and execute the firm’s quantitative research roadmap.
• Lead strategy development using statistical, ML, and AI techniques.
• Build and manage high-performing research teams.
• Partner closely with trading, risk, and engineering.
• Drive adoption of compute and research tooling.

Skills

Python expertise

Statistical techniques

Machine Learning

AI techniques

Team leadership

Education

Advanced degree in a quantitative discipline

Job description

About the Opportunity

We are retained to hire a Head of Quantitative Research for a cutting‑edge digital asset investment manager operating at the intersection of quantitative finance, AI, and automated trading.

Role Overview

This is a senior leadership role responsible for defining research strategy, building and mentoring quant teams, and delivering a consistent pipeline of deployable alpha. The role is both strategic and hands‑on, with deep involvement in research, validation, and production workflows.

Key Responsibilities

• Define and execute the firm’s quantitative research roadmap.
• Lead hands‑on strategy development using statistical, ML, and AI techniques.
• Build and manage high‑performing research teams.
• Partner closely with trading, risk, and engineering.
• Drive adoption of next‑generation compute and research tooling.

Requirements

• Advanced degree in a quantitative discipline.
• 8+ years in quantitative research with leadership exposure.
• Strong Python expertise; additional low‑latency languages a plus.
• Experience with large‑scale data, cloud infrastructure, and AI/ML.