Posted 17 days ago
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Senior data engineer role within a quantitative/QR team supporting hedge fund research in the UAE. The hire will build and optimise data systems, onboard and clean a wide range of financial and unstructured datasets, and implement streaming and pipeline solutions. The role requires close collaboration with quants, PMs and quant developers to understand research data needs and deliver production-ready data infrastructure. Key technologies include Python, SQL, cloud platforms (AWS/Azure/GCP) and experience with tools like Airflow, Snowflake and common financial data vendors.
- Compensation
- Not specified
- City
- Not specified
- Country
- United Arab Emirates
Currency: Not specified
Full Job Description
Quant Hedge Funds have flocked to the UAE over the last few years, mainly starting by moving over Senior PMs from other regions to setup their strategies from here. Now that there is enough of a presence, the supporting functions of these Quant businesses are growing in the region, after previously being serviced from other locations.
Role:
There is a wide range of Data responsibilities within this QR team, so the hire will need to be a savvy data engineer with experience wrangling data, optimising data systems as well as building new ones from scratch:
Responsibilities:
- Onboarding new datasets (financial, alt, structure and unstructured
- Data cleaning, standardisation etc
- Data streaming, pipelining etc
- Data Analysis
- Interface with Quants, PMs and QDs to understand the data needs of their research
Required Skills:
Here’s a list of interesting things that clients are interested in seeing:
- Python
- SQL
- AWS/Azure/GCP
- Airflow/Snowflake exp. is plus
- CI/CD + DevOps exp. is a plus
- Exp. with common financial data sets (e.g. Bloomberg, Refinitv, FactSet, S&P Global, CapIQ etc)
