Data Scientist (Financial Services)

Charterhouse Middle East; Abu Dhabi; On-site; AED 80,000 - 120,000; Full time

Job summary

An established industry player in the financial services sector is seeking a Financial Data Scientist to enhance financial analysis and optimize large language models. This pivotal role involves managing large datasets, building efficient ETL processes, and transforming complex data into actionable insights. The ideal candidate will possess strong expertise in Python, SQL, and machine learning, coupled with excellent communication skills to present findings to diverse stakeholders. Join a dynamic team where your contributions will significantly impact financial performance and drive innovation in data science.

Benefits

Health Insurance

Flexible Working Hours

Professional Development Opportunities

Performance Bonuses

Qualifications

• 2+ Jahre Erfahrung in Data Science oder Finanzanalytik.
• Erfahrung in der Entwicklung finanzieller Modelle und Datenmanagement.

Responsibilities

• Verwandeln komplexer Daten in umsetzbare Empfehlungen.
• Zusammenarbeit mit Engineering-Teams zur Verfeinerung von Tools und Prozessen.

Skills

Python

SQL

Machine Learning

Data Analysis

Communication Skills

Education

Master’s Degree in Finance

Master’s Degree in Engineering

Master’s Degree in Computer Science

Master’s Degree in Data Science

Tools

ETL Processes

Large Language Models

Job description

Competitive Salary Plus Benefits

Charterhouse is working with a growing financial services company in the UAE looking to hire a Financial Data Scientist who will be critical for the organisation’s development.

Our client is looking for a Financial Data Scientist to help enhance their financial analysis and optimize large language models (LLMs) using advanced data science techniques. This role will handle large datasets, build efficient ETL processes, and provide valuable insights that drive financial performance.

The Data Scientist will be responsible for transforming complex data into actionable recommendations, evaluating model outputs, and working closely with engineering teams to refine tools and processes.

The ideal candidate will have at least 2 years of experience in data science or financial analytics, particularly with developing financial models or managing financial data. Expertise in Python, SQL, and machine learning frameworks is essential, as well as experience with large language models.

Strong communication skills are required to present technical findings to non-technical stakeholders. A Master’s Degree in Finance, Engineering, Computer Science, or Data Science is preferred, along with experience in financial services or investment research. Certifications such as FRM or CFA are also a plus. Excellent communication skills in English are essential for this position.