Senior Data Researcher - Quantitative Research

Durlston Partners • United Kingdom
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AI Summary

We are building a data research function supporting quantitative research across statistical arbitrage, macro, NLP, and data-level fundamental research. The role spans the full data research lifecycle, with a focus on data understanding and signal discovery for systematic strategies.

Key Highlights
Source, evaluate, and compare traditional and alternative datasets
Assess data coverage, bias, stability, and research value
Build and maintain data pipelines for research and production
Technical Skills Required
Python SQL PostgreSQL MongoDB Kubernetes
Benefits & Perks
Fully guaranteed, competitive compensation
Education allowance for dependent children
30 working days of annual leave, plus public holidays
Comprehensive healthcare for employee and family
Business class relocation flights
Joining and departure allowances

Job Description


Senior Data Researcher

Location: Abu Dhabi, UAE (relocation support provided)

Compensation: Highly competitive, fully guaranteed


The Role

We are building a data research function supporting quantitative research across statistical arbitrage, macro, NLP, and data-level fundamental research. The role spans the full data research lifecycle, with a focus on data understanding and signal discovery for systematic strategies. We are hiring technically strong researchers who want to specialise deeply in specific data domains.


What You’ll Do

  • Source, evaluate, and compare traditional and alternative datasets
  • Assess data coverage, bias, stability, and research value
  • Build and maintain data pipelines for research and production
  • Monitor, validate, clean, and document datasets across time and regimes
  • Work closely with quants to support data use in systematic strategies


Whom We’re Looking For

  • Strong Python and SQL skills
  • Experience with core market data and/or alternative datasets
  • Understanding of how quantitative strategies evaluate and consume data
  • Preference for deep technical specialisation over generalist or managerial roles
  • Curiosity, rigour, and willingness to work hands-on at the data level


Relevant Experience

  • Systematic hedge fund, quantitative asset management, or financial data provider environments
  • Roles involving end-to-end data ownership
  • Non-linear or unconventional backgrounds with strong technical evidence


Compensation & Benefits

  • Fully guaranteed, competitive compensation
  • Education allowance for dependent children
  • 30 working days of annual leave, plus public holidays
  • Comprehensive healthcare for employee and family
  • Business class relocation flights
  • Joining and departure allowances


The role is on-site in Abu Dhabi. Short-term remote work during peak summer months is supported, alongside generous leave and public holidays. The working model is designed for long-term sustainability.


Send your CV and a brief summary of relevant experience to

dana@durlstonpartners.com


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