Quantitative Researcher & Developer - Data Science

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. Key Responsibilities · 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.

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.