Quantitative Researcher & Developer - Data Science

Abu Dhabi Investment Authority (ADIA); Abu Dhabi; On-site; AED 60,000 - 100,000; Full time

Job summary

Join a pioneering team focused on tackling the toughest challenges in systematic investing. This innovative firm is seeking a data scientist to leverage data for developing and implementing quantitative investment strategies. You will work in a multidisciplinary environment, utilizing your expertise in SQL and Python to analyze complex datasets and derive actionable insights. If you are passionate about data and eager to learn new technologies, this role offers an exciting opportunity to contribute to groundbreaking investment strategies and make a significant impact in the field.

Qualifications

• 3+ years in data science with strong SQL and Python skills.
• Experience with analytical techniques on large datasets.

Responsibilities

• Develop pipelines to clean and integrate new data sources.
• Maintain automated systems for data collection and retrieval.

Skills

SQL

Python

Data Analysis

Analytical Skills

Problem Solving

Communication

Education

Ph.D. or Masters in a quantitative discipline

Tools

Cloud technologies

Job description

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.

· 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.