Senior Scientist Financial Data

Newbridge; Abu Dhabi; On-site; AED 100,000 - 150,000; Full time

Job summary

An innovative investment firm in the United Arab Emirates seeks a Data Scientist to boost quantitative research capabilities. The role involves developing data pipelines, conducting analyses to support investment strategies, and maintaining data systems. Candidates should possess a Ph.D. or Master's degree in a quantitative discipline and strong skills in SQL and Python. The position presents an opportunity to work in a dynamic environment, along with a chance to contribute to cutting-edge investment strategies.

Qualifications

• Ph.D. or Master's degree in Mathematics, Statistics, Computer Science, Physics, Engineering, or equivalent experience.
• Professional experience in data science or a related field.
• Advanced skills in SQL and Python; knowledge of additional programming language expected.

Responsibilities

• Develop and maintain data pipelines for ingestion and cleansing.
• Conduct exploratory data analysis and identify patterns for investment strategies.
• Design and implement automated systems for data quality and retrieval.

Skills

SQL

Python

Data analysis

Statistical techniques

Cloud computing

Education

Ph.D. or Master's in quantitative discipline

Job description

The Research & Development team is a multidisciplinary group of experts dedicated to advancing quantitative investment strategies. By combining deep specialization with innovative thinking, the team develops new approaches to investing and implements them through rigorous research and technology. Our clients mandate is to enable world-class research by providing comprehensive, clean, and actionable data, supported by robust, efficient, and scalable technical infrastructure.

Role Overview

This position will contribute to the core data and technology capabilities that underpin the firm's quantitative research. The successful candidate will work closely with researchers, engineers, and investment professionals to source new datasets, derive insights, and maintain production-grade data systems.

Key Responsibilities

• Data Ingestion & Cleansing: Develop and maintain pipelines to clean, tag, and integrate new data sources.
• Data Analysis: Conduct exploratory analysis, generate descriptive statistics, and identify patterns with potential application to investment strategies.
• Data Infrastructure: Design, implement, and support automated systems for data collection, quality assurance, and retrieval.

Qualifications

• Education: Ph.D. or Master's degree in a quantitative discipline such as Mathematics, Statistics, Computer Science, Physics, Engineering, or equivalent professional experience.
• Experience: Professional experience in data science or a related field.
• Technical Proficiency: Advanced skills in SQL and Python required; proficiency in at least one additional programming language expected. Experience with cloud computing platforms and financial datasets is preferred.
• Analytical Expertise: Demonstrated ability to apply statistical and analytical techniques to large-scale, real-world datasets.
• Communication: Strong problem-solving abilities with a proven capacity to communicate complex analyses to technical and non-technical audiences.
• Attributes: Intellectual curiosity and a commitment to continuous learning and innovation.