Data Engineer/Quant Dev
at Durlston Partners
Posted 19 hours ago
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- Compensation
- Not specified
- City
- Not specified
- Country
- United Arab Emirates
Currency: Not specified
Seeking a savvy data engineer to support a quantitative research (QR) team at a growing quant/hedge fund presence in the UAE. The role involves onboarding, cleaning and standardising financial, alternative and unstructured datasets, building and optimising data pipelines and streaming systems, and performing data analysis. You will work closely with quants, PMs and quantitative developers to understand research data needs and implement robust data infrastructure. Experience with cloud platforms, Python, SQL and common financial data sets is highly desirable.
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)
