AI Research Scientist

Client of Durlston Partners

Employer Active

Posted 1 hr ago

Experience

5 - 11 Years

Education

Bachelor of Science(Computers)

Nationality

Any Nationality

Gender

Not Mentioned

Vacancy

1 Vacancy

Job Description

Roles & Responsibilities


Why you d want this role

  • One of the few environments where foundational model research directly feeds live trading systems
  • Access to dedicated compute infrastructure
  • A culture built around publishing the firm actively supports and values research contributions to the broader scientific community
  • Flat structure with direct exposure to leadership from day one
  • Work alongside researchers and engineers recruited from the very top of the field globally

Why Abu Dhabi

  • Consistently ranked among the safest and most liveable cities in the world
  • One of the fastest-growing hubs for buy-side finance and AI in the region
  • Significant tax advantages over London, New York, or Singapore
  • The most sought-after neighbourhoods are a 10 20 minute drive from the office no tube strikes, no packed commutes, and a cab is around £8 each way
  • Year-round sunshine and world-class infrastructure

What you ll be doing

  • Researching and developing novel AI-driven quantitative trading strategies, applying the latest advances in LLMs, transformers, and deep neural networks to real market problems
  • Exploring large volumes of market and alternative data to discover and capitalise on new trading opportunities
  • Inventing and applying next-generation methods in prompt engineering, signal processing, and time-series analysis
  • Contributing to a research culture where your findings may be published and recognised beyond the firm

What you ll bring

  • A Master s or PhD in a quantitative discipline: Computer Science, Applied Mathematics, Statistics, Physics, Quantitative Finance, or similar
  • Deep, practical knowledge of large language models and deep neural networks, applied to real problems in NLP, vision, signal processing, or related domains
  • Strong experience analysing large datasets using rigorous ML and statistical methods classification, regression, time-series analysis, Bayesian methods, neural networks, and more

Company Industry

Department / Functional Area

Keywords

  • AI Research Scientist

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