Financing Analytics & Modeling Division Head

TechConnect; Indonesia; On-site; IDR 300,000,000 - 450,000,000; Full time

Job summary

TechConnect in Indonesia is seeking a leader for financing analytics. This role involves developing credit scoring models, overseeing analytics projects, and managing a team of data professionals to support data-driven decisions.

The ideal candidate will have at least 5 years of experience in data analytics or risk management and a strong background in machine learning techniques. The position demands collaboration across teams like Risk and IT.

Qualifications

• Minimum 5 years of experience in data analytics, risk management, or credit scoring model development.
• Proven experience in building and maintaining credit risk models.
• Strong ability to process and analyze large-scale data.

Responsibilities

• Lead the development and implementation of financing analytics models.
• Oversee financing portfolio analysis to monitor asset quality.
• Manage a team of data scientists and analysts.

Skills

Data analytics

Risk management

Credit scoring model development

Machine learning

ETL processes

Job description

• 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.

Requirements

• 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.