Data Scientist

RAKBANK; Dubai; On-site; AED 200,000 - 300,000; Full time

Job summary

A leading financial institution located in Dubai Silicon Oasis is seeking a Data Scientist to lead the development of Credit Risk Models. The ideal candidate will have at least 7 years of hands-on experience in credit risk modeling and 3+ years of team management experience. This role offers competitive compensation, medical care, life insurance, and career development opportunities, making it a great choice for those looking to advance in a collaborative environment.

Benefits

Competitive and performance-linked compensation

Provision of medical care plan

Comprehensive Life insurance plan

Diverse workforce and inclusive culture

Career development opportunities

Qualifications

• At least 7 years hands-on credit risk modelling experience.
• At least 3+ years’ experience in team management.
• Experience in statistical model development and machine learning.

Responsibilities

• Develop risk models for retail and wholesale lending portfolios.
• Identify valuable data sources and automate data collection processes.
• Present information using data visualization techniques.

Skills

Credit risk modelling

Team management

Statistical analysis

Machine learning

Data visualization

Education

Degree in Statistics, Mathematics, Economics, Banking, Engineering

Tools

SAS

Python

R

Job description

At RAKBANK, we believe in fostering a culture of innovation, growth, and excellence. We are not just a bank – we are a community that thrives on teamwork, cutting‑edge solutions, and the highest standards of governance. Now, we’re looking for a dynamic Data Scientist to join our team at Dubai Silicon Oasis, where you'll lead the way in Credit Risk Models development and ensuring internal and regulatory standards are met.

What You’ll Do:

• Develop, implement, and monitor risk models for retail and wholesale lending portfolio.
• To support Risk Analytics Vice President in efficient delivery against requirements set forth by Management as well as external regulators.

Data management

• Identify valuable data sources and automate data collection processes.
• Prepare the data to be used for modelling.
• Undertake preprocessing of structured and unstructured data.
• Analyze large amounts of information to discover trends and patterns.
• Present information using data visualization techniques.

Model development and management

• Develop credit risk models for the wholesale and retail portfolios (e.g., credit decisioning, PD, LGD, EAD, IFRS9) ensuring modelling process meet internal and regulatory standards.
• Build business support models (collection, fraud analytics) and more broadly, predictive models for alternative modeling solution leveraging from statistical techniques using supervised and unsupervised machine learning algorithms.
• Utilize advanced analytical tools and ML models to build predictive models for early warning systems.
• Develop statistical models for AML (anti money laundering) purpose and conduct threshold tuning.
• Develop strategies to help portfolio grow by leveraging from risk scores with risk and return perspective.

What We’re Looking For:

• Degree in Statistics, Mathematics, Economics, Banking, Engineering or other related areas
• At least 7 years hands on credit risk modelling experience
• At least 3+ years’ experience in team management
• Experience in statistical model development (including machine learning), using tools such as SAS, Python and R.
• Knowledge of risk modelling regulations such as Basel and IFRS9, MMSG regulations.
• Ability to generate insight from the data and make recommendations

What’s In It For You

• Pay for performance culture (Competitive and performance-linked compensation)
• Provision of medical care plan for your family and you
• Comprehensive Life insurance plan
• Diverse workforce and inclusive culture
• Career development and growth opportunities by design
• Work with the best minds in the field
• Get opportunities to bring your whole‑self to the organization and perform to your best

Be part of RAKBANK's future!

Step into a role where your leadership, and strategic insights will directly shape the future of the bank. If you're ready to elevate your career with us, apply now!

📍 Location: Dubai Silicon Oasis, Dubai, UAE