Financing Analytics & Modeling Division Head
- Work arrangement
- On-site
- Occupation
- Data & Analytics
- Location
- Jakarta, Jakarta, ID
- Compensation
- Not disclosed
- Apply by
- April 14, 2027
About this role
<ul>
<li>Lead the development and implementation of financing analytics models (credit scoring, risk rating, and behavioral scoring) to support data-driven decision making.</li>
<li>Oversee financing portfolio analysis to monitor asset quality, debtor performance, and risk trends in support of mitigation strategies.</li>
<li>Manage a team of data scientists and analysts in executing analytics projects, including data preparation, modeling, evaluation, and model deployment into production systems.</li>
<li>Coordinate with related divisions such as Risk Management, Financing, and IT in developing policies, model parameters, and analytics data infrastructure.</li>
<li>Drive innovation and the implementation of AI/ML technologies to improve the efficiency, accuracy, and speed of financing analysis processes.</li>
<li>Conduct credit risk measurement on internal models applied to financing products that utilize scoring systems to ensure accurate quality assessments and minimize potential bank losses.</li>
<li>Develop and monitor internal models for financing products that use scoring systems, anticipate potential challenges and risks, and take prompt mitigation actions.</li>
</ul><h2>Requirements</h2><ul>
<li>Minimum 5 years of experience in data analytics, risk management, or credit scoring model development within the financial services, banking, or fintech industry.</li>
<li>Proven experience in building and maintaining credit risk models using advanced analytics and machine learning techniques.</li>
<li>Strong ability to process and analyze large-scale data to support strategic decision making.</li>
<li>Experience in regularly monitoring and evaluating model performance, as well as proposing enhancements to ensure model reliability.</li>
<li>Experience working in a multidisciplinary environment and collaborating with cross-functional teams such as Risk, Finance, and IT to generate actionable analytical insights.</li>
<li>Hands-on experience in implementing ETL (Extract, Transform, Load) processes to collect, process, and manage financing risk-related data.</li>
</ul>