Credit Risk Model Developer - Python-SAS - FAB GBS India Job Vacancy in UAE Abdu Dhabi
Job Overview
First Abu Dhabi Bank GBS India is seeking a skilled Credit Risk Model Developer to join its growing analytics team. The role is focused on end-to-end model development for regulatory and operational risk, including IFRS9, Basel, application scoring, and collections models. The position involves data engineering, model design, documentation, and collaboration with global risk teams. Candidates must have hands-on experience with Python or SAS and a strong background in statistical modeling.
Job Location: Bangalore or Chennai, India
Industry: Banking
Function: Data Science / Risk Modeling
Salary: 120000–180000 INR monthly (Market estimated)
Gender: Any
Candidate Nationality: Any
Candidate Current Location: India preferred
Job Type: Full Time
Job Overview
The Credit Risk Model Developer - Python/SAS - FAB GBS India will independently manage the model development lifecycle from data preparation to documentation. The candidate will act as a subject matter expert on model techniques and governance, while supporting the VP of Model Development and collaborating with teams across regions on implementation and validation.
Key Responsibilities
* Develop credit risk models for regulatory (Basel, IFRS9, stress testing) and operational (application, behavior, collections) portfolios
* Execute tasks such as data extraction, feature engineering, model training, back-testing, and statistical evaluation
* Maintain complete model documentation, including assumptions, limitations, and performance metrics
* Manage and automate code, versioning, and repository structures in line with internal model governance policies
* Work on remediation of validation or monitoring findings with accurate and timely enhancements
* Mentor junior team members on model development, statistical methods, and credit risk concepts
* Perform UAT and provide implementation support to deployment teams
* Create analytical datasets from structured/unstructured data using SQL, NoSQL, or cloud platforms
* Contribute to the development of tools that automate model testing and risk analytics workflows
* Participate in knowledge sharing, code reviews, and team upskilling
Job Requirements
* Bachelor’s or Master’s degree in statistics, mathematics, engineering, economics, or a quantitative field
* 2 to 5 years of experience in model development within banking or financial services
* Strong hands-on experience in Python (preferred) and/or SAS/R
* Proven experience with statistical and machine learning models (e.g., logistic regression, XGBoost, random forest)
* Knowledge of regulatory frameworks such as Basel, IFRS9, or stress testing
* Strong SQL skills and familiarity with data engineering best practices
* Excellent written and verbal communication for cross-functional collaboration
* Familiarity with Git, code versioning, and model validation processes
* Exposure to cloud platforms such as AWS SageMaker is a plus
* Risk certifications like FRM or CFA (Level 1) are advantageous
What We Offer
* Strategic role within FAB’s global analytics and risk division
* Exposure to advanced machine learning and cloud-based model development
* Opportunities to lead projects and mentor junior analysts
* Competitive compensation and strong career advancement track in global banking
About the Company
First Abu Dhabi Bank is the UAE’s largest bank and one of the world’s most trusted financial institutions. FAB GBS India, its global business services arm, delivers cutting-edge solutions across data, analytics, finance, technology, and operations. FAB is committed to fostering talent, innovation, and growth across its international footprint.