Quantitative Researcher & Developer - Data Science
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Before you apply
LocationAbu Dhabi, United Arab Emirates
Work modeon-site
Typefull-time
SeniorityMid
Experience3+ yrs
DepartmentStrategy and Planning
Company size10,000+ people
PostedDec 4, 2024 · 1y ago
Verified live1d ago
At a glanceSummarised by Seekless from the posting.
Ph.D. or Masters in a quantitative discipline or equivalent experience
Candidates without a Ph.D. must have 3+ years of data science experience
Strong proficiency in SQL and Python
Proficiency in at least one other language besides SQL and Python
Experience with applying analytical and statistical techniques to large real-world datasets
Ability to solve complex problems and communicate findings to technical and non-technical stakeholders
Curiosity and desire to learn new methods and technologies
Cloud experience
Familiarity with financial data sets
Skills
SQL
Python
Cloud
About the company
We want to crack the hardest challenges in systematic investing.
About the role
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.
This position is specifically within the Data Curation team. The team enables the research, development, and implementation of quantitative investment strategies by delivering comprehensive, clean, and actionable datasets and building robust, efficient, and scalable data solutions.
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.
Requirements
· Education: Ph.D. or Masters in a quantitative discipline or equivalent experience.
· Experience: Candidates without a Ph.D. must have 3+ years of data science experience.
· 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.