Retail Banking Data Scientist

Grow and Make an Impact with Bank SMBC Indonesia

Formerly known as Bank BTPN, we are now proud to be PT Bank SMBC Indonesia Tbk, part of Sumitomo Mitsui Banking Corporation, one of the world’s leading global financial groups.

This transformation marks a renewed commitment to delivering world-class banking services, grounded in innovation, collaboration, and sustainability.

At Bank SMBC Indonesia, we believe a career is more than just a job, it is a journey of personal growth, meaningful connections, and lasting impact. Join us and be part of a digital and social transformation that touches millions of lives.

• Minimum Bachelor’s Degree (S1) in Mathematics, Statistics, Computer Science, Data Science, Machine Learning, or a related quantitative field.
• Proficiency in programming languages and data tools, including but not limited to SQL, Python, R, Hadoop, SPSS, or SAS.
• Strong data analysis, data verification, and structured problem-solving abilities.
• Advanced proficiency in the Microsoft Office Suite (Excel, PowerPoint, Word).
• Deep technical knowledge of data mining, statistical analysis, and machine learning techniques.
• Strong financial acumen coupled with the ability to translate complex statistical insights into business strategies.
• Excellent written, oral, and presentation skills, with a proven ability to listen effectively and communicate complex ideas to non-technical stakeholders.
• Proven track record of working effectively in team-oriented, cross-functional environments.

• Design, build, and maintain predictive and scoring models that drive volume growth, optimize risk, and increase productivity—directly impacting revenue and cost efficiency.
• Create and implement predictive modeling and trend analysis tools that seamlessly integrate into existing systems, anticipating business needs and providing real-time solutions. Solve business issues using optimum machine learning techniques.
• Resolve complex business challenges by applying optimum machine learning techniques.
• Partner closely with business users and cross-functional teams to identify key needs, deliver robust model solutions, and formulate data-driven strategies.
• Provide deep-dive analysis related to lending portfolio underwriting, strategy implementation, validation, and scorecard modeling.
• Oversee data gathering, cleansing, transformation, and model enhancement (including integrating new data sources) to optimize predictive capabilities and elevate analytics performance.

At Bank SMBC Indonesia, your career is more than a job, it’s a journey of impact and growth. Our Employee Value Proposition (EVP) reflects the values we live by:

Impactfulness
:
Through collaboration, we strive to improve the lives of millions.

Self‑Growth
:
We encourage you to be the best version of yourself, every single day.

Relationship
:
We’re more than just colleagues, we are a family.

Network
:
We build connections beyond banking, beyond borders.

Digitally Powered
:
We harness technology to reshape the future of banking.

Be part of something greater. Grow with us, lead with purpose, and create a lasting impact!