AI Scientist

Michael Page; Abu Dhabi; On-site; AED 120,000 - 200,000; Full time

Job summary

A financial technology firm located in Abu Dhabi is seeking an AI Engineer to bridge AI platforms with quantitative strategies. The ideal candidate will possess strong expertise in AI/ML engineering and a solid understanding of financial markets. Responsibilities include designing AI platforms, collaborating with quant teams, and ensuring platform performance and compliance. This role offers an exciting opportunity to work at the forefront of AI innovation in quantitative finance.

Benefits

Work at the forefront of AI innovation in quantitative finance.

Collaborate with elite quant and strategy teams across global markets.

Qualifications

• Strong background in AI / ML engineering with exposure to financial markets.
• Fluency in quant concepts, terminology, and strategy workflows.
• Experience building AI platforms or ML infrastructure in production environments.
• Proficiency in Python, cloud platforms, and containerized environments.
• Ability to collaborate with quant teams and translate their needs into technical solutions.
• Familiarity with time-series modeling, backtesting frameworks, and data pipeline.

Responsibilities

• Bridge AI platforms with quant strategy in a high-impact market domain.
• Design and build AI platforms tailored for quant research and strategy development.
• Translate quant requirements into scalable, modular AI workflows.
• Collaborate with quant researchers to integrate ML models into trading pipelines.
• Develop infrastructure for data ingestion, feature engineering, and model deployment.
• Ensure platform performance, reliability, and compliance with financial standards.
• Lead experimentation with new AI tools and frameworks relevant to quant domains.
• Act as a technical liaison between engineering, quant, and strategy team.

Skills

AI / ML engineering

Fluency in quant concepts

Python proficiency

Collaboration with quant teams

Familiarity with time-series modeling

Tools

Cloud platforms

Containerized environments

Backtesting frameworks

Job description

Responsibilities

• Bridge AI platforms with quant strategy in a high-impact market domain.
• Deep AI engineering expertise with quant domain fluency required.
• Design and build AI platforms tailored for quant research and strategy development.
• Translate quant requirements into scalable, modular AI workflows.
• Collaborate with quant researchers to integrate ML models into trading pipelines.
• Develop infrastructure for data ingestion, feature engineering, and model deployment.
• Ensure platform performance, reliability, and compliance with financial standards.
• Lead experimentation with new AI tools and frameworks relevant to quant domains.
• Act as a technical liaison between engineering, quant, and strategy team.

About Our Client

A financial technology and strategy firm operating at the intersection of AI, quantitative research, and market innovation

Qualifications

• Strong background in AI / ML engineering with exposure to financial markets.
• Fluency in quant concepts, terminology, and strategy workflows.
• Experience building AI platforms or ML infrastructure in production environments.
• Proficiency in Python, cloud platforms, and containerized environments.
• Ability to collaborate with quant teams and translate their needs into technical solutions.
• Familiarity with time-series modeling, backtesting frameworks, and data pipeline.

Benefits

• Work at the forefront of AI innovation in quantitative finance.
• Collaborate with elite quant and strategy teams across global markets.

Contact

Manpreet Kaur

Job Ref

JN-082025-6815120