Quantitative Researcher & Developer - Data Science

Abu Dhabi Investment Authority; Abu Dhabi; On-site; AED 120,000 - 180,000; Full time

Job summary

An established industry player is seeking a talented data scientist to join their Quantitative Research & Development team. This role involves tackling complex challenges in systematic investing by leveraging data to develop and implement quantitative investment strategies. You will be responsible for creating data pipelines, analyzing large datasets, and maintaining automated systems for data management. If you are passionate about data, enjoy problem-solving, and thrive in a multidisciplinary environment, this opportunity is perfect for you. Join a team that values innovation and collaboration, and contribute to pioneering investment strategies that shape the future of finance.

Qualifications

• 3+ years of experience in data science with a strong quantitative background.
• Proficiency in SQL and Python, with a passion for data and analytics.

Responsibilities

• Develop data pipelines for ingestion, cleansing, and integration.
• Analyze datasets to uncover patterns and present findings.

Skills

SQL

Python

Analytical Skills

Problem Solving

Communication

Education

Ph.D. in a quantitative discipline

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

1. Data Ingestion & Cleansing: Develop pipelines to clean, tag and integrate new data sources.
2. Data Analysis: Generate descriptive statistics, uncover valuable patterns and present potential applications of datasets.
3. Data Infrastructure: Maintain automated systems for data collection, cleaning and retrieval.

Requirements

1. Education: Ph.D. or Masters in a quantitative discipline or equivalent experience.
2. Experience: 3+ years in data science.
3. 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.
4. Analytical Skills: Experience with applying analytical and statistical techniques to large real-world datasets.
5. Problem Solving & Communication: Ability to solve complex problems and communicate findings to technical and non-technical stakeholders.
6. Passion for Data: Curiosity and desire to learn new methods and technologies.