This role is responsible for developing, validating, and maintaining credit scoring models to enhance risk management strategies and decision-making capabilities. You will work closely with cross-functional teams to translate business requirements into actionable modelling solutions and ensure compliance with regulatory and governance standards.
Key Responsibilities
- Develop and validate credit scoring models using statistical and machine learning techniques.
- Perform data preprocessing, feature engineering, and model performance monitoring.
- Deploy and manage models using AWS cloud infrastructure and DataRobot AutoML platform.
- Collaborate with business units to translate credit risk requirements into actionable modeling strategies.
- Evaluate and execute improvement projects to enhance credit risk management and operational efficiency.
- Conduct periodical reviews on existing and new projects to ensure efficiency and compliance.
- Prepare functional specification documents and participate in system enhancement testing (UAT).
- Mentor and guide junior team members.
- Ensure all activities comply with internal governance, ISO standards, and regulatory requirements.
Job Requirements
- Degree in Banking, Finance, Business Administration, Economics, Accounting, Information Technology, or related fields.
- Minimum 5 years’ relevant experience in credit evaluation, data science, or risk analytics, preferably within the banking or financial services industry.
- Proficiency in Python, SQL, and model development frameworks.
- Experience with AWS services (e.g., S3, SageMaker, Lambda, EC2).
- Hands-on experience with DataRobot or similar AutoML platforms is an advantage.
- Strong analytical mindset with excellent problem-solving and decision-making abilities.
- Effective communication, interpersonal, and leadership skills.
- Able to manage multiple projects in a fast-paced, dynamic environment.
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