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Quant Research Lead (AI/ML) – UAE relocation

at Durlston Partners

Back to all Data Science / AI / ML jobs
Durlston Partners logo
Recruitment Agencies

Quant Research Lead (AI/ML) – UAE relocation

at Durlston Partners

Tech LeadNo visa sponsorshipData Science/AI/ML

Posted 19 hours ago

No clicks

Compensation
Not specified

Currency: Not specified

City
Not specified
Country
United Arab Emirates

Senior quantitative research leader to design and deliver scalable data products and AI/ML-driven workflows that convert raw financial and alternative datasets into actionable insights. You will partner closely with Quant Research teams to identify alpha and signal-generation use cases, build tools for equities, macro and commodities strategies, and improve model explainability and research workflows. The role requires hands-on technical leadership and a strategic perspective on long-term data architecture and innovation in data usage.

We are looking for an experienced Quant Research Lead to lead the development of internal data functions powered by advanced AI/ML techniques. This role is central to transforming raw financial and alternative datasets into high-impact insights used by our Quant Research teams.

What You’ll Do:

  • Lead the design and implementation of scalable data products integrating AI/ML models
  • Partner with QR teams to identify key use cases in alpha and signal generation
  • Explore and structure complex datasets—including alternative, fundamental, and market data
  • Building tools that translate data insights into actionable outcomes, mostly for Equities, Macro and Commodities strategies
  • Drive innovation in data usage, model explainability, and research workflows

What We’re Looking For:

  • 15+ years in Quantitative Research, Data Science and AI/ML, mostly within finance
  • Deep experience applying machine learning to large, diverse datasets
  • Strong understanding of equity and commodity markets and their associated data
  • Proven ability to lead interdisciplinary teams and bridge research, data, and investment functions
  • A hands-on mindset with a strategic lens for long-term data architecture

Quant Research Lead (AI/ML) – UAE relocation

at Durlston Partners

Back to all Data Science / AI / ML jobs
Durlston Partners logo
Recruitment Agencies

Quant Research Lead (AI/ML) – UAE relocation

at Durlston Partners

Tech LeadNo visa sponsorshipData Science/AI/ML

Posted 19 hours ago

No clicks

Compensation
Not specified

Currency: Not specified

City
Not specified
Country
United Arab Emirates

Senior quantitative research leader to design and deliver scalable data products and AI/ML-driven workflows that convert raw financial and alternative datasets into actionable insights. You will partner closely with Quant Research teams to identify alpha and signal-generation use cases, build tools for equities, macro and commodities strategies, and improve model explainability and research workflows. The role requires hands-on technical leadership and a strategic perspective on long-term data architecture and innovation in data usage.

We are looking for an experienced Quant Research Lead to lead the development of internal data functions powered by advanced AI/ML techniques. This role is central to transforming raw financial and alternative datasets into high-impact insights used by our Quant Research teams.

What You’ll Do:

  • Lead the design and implementation of scalable data products integrating AI/ML models
  • Partner with QR teams to identify key use cases in alpha and signal generation
  • Explore and structure complex datasets—including alternative, fundamental, and market data
  • Building tools that translate data insights into actionable outcomes, mostly for Equities, Macro and Commodities strategies
  • Drive innovation in data usage, model explainability, and research workflows

What We’re Looking For:

  • 15+ years in Quantitative Research, Data Science and AI/ML, mostly within finance
  • Deep experience applying machine learning to large, diverse datasets
  • Strong understanding of equity and commodity markets and their associated data
  • Proven ability to lead interdisciplinary teams and bridge research, data, and investment functions
  • A hands-on mindset with a strategic lens for long-term data architecture