Financing Analytics & Modeling Division Head

Techconnect; Daerah Khusus Ibukota Jakarta; On-site; IDR 1,050,420,168 - 1,400,560,224; Full time

Job summary

Techconnect is seeking a qualified individual with a minimum of 5 years of experience in data analytics and risk management within the financial services sector. The role involves leading the development and implementation of financing analytics models, managing a team of data scientists, and driving the use of AI/ML technologies in the analytical processes. The candidate should have proven experience in credit risk model development and a strong ability to analyze large datasets. This position is based in Jakarta, Indonesia, and offers an opportunity to influence strategic decision-making processes.

Qualifications

• Minimum 5 years of experience in data analytics, risk management, or credit scoring model development in financial services.
• Proven experience in credit risk model building and maintenance using advanced analytics.
• Strong ability to process large-scale data for strategic decision making.
• Experience in monitoring and evaluating model performance and proposing enhancements.
• Hands-on experience in implementing ETL processes.

Responsibilities

• Lead the development of financing analytics models for data-driven decision making.
• Oversee portfolio analysis to monitor asset quality and debtor performance.
• Manage a team in executing analytics projects from data preparation to deployment.
• Coordinate with divisions in developing policies and analytics data infrastructure.
• Drive innovation in AI/ML technologies for financing analysis processes.

Skills

Data analytics

Risk management

Credit scoring model development

Machine learning techniques

Cross-functional collaboration

Job description

Responsibilities

• Lead the development and implementation of financing analytics models (credit scoring, risk rating, and behavioral scoring) to support data-driven decision making.
• Oversee financing portfolio analysis to monitor asset quality, debtor performance, and risk trends in support of mitigation strategies.
• Manage a team of data scientists and analysts in executing analytics projects, including data preparation, modeling, evaluation, and model deployment into production systems.
• Coordinate with related divisions such as Risk Management, Financing, and IT in developing policies, model parameters, and analytics data infrastructure.
• Drive innovation and the implementation of AI/ML technologies to improve the efficiency, accuracy, and speed of financing analysis processes.
• 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.
• Develop and monitor internal models for financing products that use scoring systems, anticipate potential challenges and risks, and take prompt mitigation actions.

Qualifications

• Minimum 5 years of experience in data analytics, risk management, or credit scoring model development within the financial services, banking, or fintech industry.
• Proven experience in building and maintaining credit risk models using advanced analytics and machine learning techniques.
• Strong ability to process and analyze large-scale data to support strategic decision making.
• Experience in regularly monitoring and evaluating model performance, as well as proposing enhancements to ensure model reliability.
• Experience working in a multidisciplinary environment and collaborating with cross-functional teams such as Risk, Finance, and IT to generate actionable analytical insights.
• Hands‑on experience in implementing ETL (Extract, Transform, Load) processes to collect, process, and manage financing risk‑related data.