Job Search and Career Advice Platform

Enable job alerts via email!

Quantitative Researcher & Developer - Data Science

Abu Dhabi Investment Authority

Abu Dhabi

On-site

AED 120,000 - 150,000

Full time

16 days ago

Generate a tailored resume in minutes

Land an interview and earn more. Learn more

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

Proficiency in SQL
Proficiency in Python
Analytical skills
Problem-solving

Education

Ph.D. or Masters in a quantitative discipline
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.
Requirements
  • 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.
Get your free, confidential resume review.
or drag and drop a PDF, DOC, DOCX, ODT, or PAGES file up to 5MB.