Senior Data Scientist Credit Scoring
Senior Data Scientist Credit Scoring
Posted on :
04-10-2025
Employer Active
1 Vacancy
Job Alert
You will be updated with latest job alerts via emailValid email field required
Send jobs
Share
Send me jobs like this
Job Alert
You will be updated with latest job alerts via emailValid email field required
Send jobs
Job Description
This Senior Data Scientist directly supports Amar Banks strategic goals of scaling data-driven lending improving model governance and increasing acceptance in new customer segments.
Responsibilities
- Develop maintain and improve credit scoring and risk models using Python and SQL.
- Conduct feature engineering and data analysis to improve model performance.
- Collaborate with business risk management and IT to ensure models are deployed successfully.
- Document models and processes according to regulatory and internal standards.
- Contribute to process improvements and adoption of new tools (e.g. Vertex AI).
- Support knowledge transfer across multicultural teams.
Requirements
- Proven track record in predictive model development and deployment ideally in credit risk.
- Strong skills in Python and SQL.
- Understanding of the banking and credit risk domain.
- Experience with cloud platforms (Vertex AI or similar).
- Strong communication and collaboration skills.
- Ability to work independently and take ownership of projects.
- Fluent English ability to work in a multicultural environment.
Bonus Point
- Experience with regulatory model governance.
- Prior exposure to Asian financial services markets.
Required Experience:
Senior IC
Employment Type
Full-Time
Key Skills
Report This Job
Disclaimer: Drjobpro.com is only a platform that connects job seekers and employers. Applicants are advised to conduct their own independent research into the credentials of the prospective employer.We always make certain that our clients do not endorse any request for money payments, thus we advise against sharing any personal or bank-related information with any third party. If you suspect fraud or malpractice, please contact us via contact us page.
