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Systematic Hedge Fund | Abu Dhabi (On-site)
They are a leading systematic hedge fund in the UAE, building data driven investment strategies across global markets. Their Quantitative Research & Development team sits at the heart of the investment process, partnering directly with researchers and portfolio managers to turn complex data into scalable, production ready signals.
This role is for exceptional individuals from top tier quantitative firms who want ownership, intellectual depth, and real impact.
Responsibilities:
- Build and maintain robust pipelines for ingesting, cleaning, and integrating large scale datasets
- Analyse new and existing data sources to identify patterns with investment relevance
- Develop automated, scalable data infrastructure to support systematic research
- Work closely with quantitative researchers to productionise data and research workflows
Requirements:
- 2+ years experience in data science, quantitative research, or data engineering within top-tier systematic hedge funds or proprietary trading firms
- Background at firms such as Tower Research Capital, Balyasny Asset Management, Citadel, Citadel Securities, DE Shaw, Two Sigma, Jump, or similar.
- Advanced Python
- Proven experience working with large, noisy real world datasets
Why Join:
- World class systematic platform with significant capital
- Direct influence on live strategies
- Highly competitive, tax efficient compensation (0%)
📩 Process note: If you don't hear back within 3 days, your application was unfortunately not successful.
Ready to apply?
Join Durlston Partners and take your career to the next level!
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