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Quantitative Researcher and Developer - Data Science
Job summary
A leading investment authority in Abu Dhabi is seeking a Data Scientist to join their Quantitative Research & Development team. The ideal candidate will have a Ph.D. or Masters in a quantitative discipline and over three years of experience in data science. Responsibilities include developing data pipelines, analyzing datasets, and maintaining data infrastructure. Passion for data and strong problem-solving skills are essential. Competitive compensation offered.
Qualifications
- 3+ years of experience in data science.
- Familiarity with financial datasets is a plus.
- Experience with statistical techniques on large datasets.
Responsibilities
- Develop pipelines to clean and integrate new data sources.
- Generate descriptive statistics and present dataset applications.
- Maintain automated systems for data collection and cleaning.
Skills
Education
We want to crack the hardest challenges in systematic investing.
ADIA’S Quantitative Research & Development team works in a multidisciplinary environment, where experts with deep specializations pioneer new ways to think about investing, and put these ideas into practice.
Our team leverages data to enable the research, development and implementation of quantitative investment strategies by providing comprehensive, clean, and actionable data as well as building robust, efficient, and scalable technology.
- Data Ingestion & Cleansing : Develop pipelines to clean, tag and integrate new data sources.
- Data Analysis : Generate descriptive statistics, uncover valuable patterns and present potential applications of datasets.
- Data Infrastructure : Maintain automated systems for data collection, cleaning and retrieval.
- Education : Ph.D. or Masters in a quantitative discipline or equivalent experience.
- Experience : 3+ years in data science
- Technical Skills : Strong proficiency in SQL and Python, as well as proficiency in at least one other language. Cloud experience and familiarity with financial data sets are a plus.
- Analytical Skills : Experience with applying analytical and statistical techniques to large real-world datasets.
- Problem Solving & Communication : Ability to solve complex problems and communicate findings to technical and non-technical stakeholders.
- Passion for Data : Curiosity and desire to learn new methods and technologies.
* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.