Y-Axis Jobs Logo
Send us feedback
telephone  +91 7670 800 001
Log in Sign up Try Premium
Senior Data Scientist - Credit Scoring at Amar Bank
Special capital Region of Jakarta, Java, Indonesia -
Full Time

Start Date

Immediate

Expiry Date

31 Dec, 25

Salary

0.0

Posted On

02 Oct, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Python, SQL, Predictive Model Development, Credit Risk, Feature Engineering, Data Analysis, Model Governance, Cloud Platforms, Communication, Collaboration, Independent Work, Knowledge Transfer, Regulatory Standards, Process Improvements, Vertex AI

Industry

Banking

Description
This Senior Data Scientist directly supports Amar Bank’s strategic goals of scaling data-driven lending, improving model governance, and increasing acceptance in new customer segments. \n 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. \n
Responsibilities
The Senior Data Scientist will develop, maintain, and improve credit scoring and risk models while collaborating with various teams to ensure successful model deployment. Additionally, they will document models and processes in accordance with regulatory standards and contribute to process improvements.