Monroe Consulting Group, an Executive Recruitment firm, is partnering with an organisation in the Professional Services sector to hire a Credit Scoring & MIS Manager. This opportunity is based in Indonesia. The role offers a unique opportunity to lead credit risk analytics, data engineering, and management information systems initiatives within a growing lending business.
Position Overview
Lead the development and enhancement of credit scoring models, risk analytics frameworks, and MIS capabilities across lending products.
Drive data-led transformation initiatives that improve portfolio quality, underwriting accuracy, and overall business performance.
Key Responsibilities
- Develop & Refine Credit Scoring Models: Design, build, and optimise credit score models and risk analytics frameworks from scratch to improve portfolio quality and underwriting accuracy.
- Lead MIS & Data Engineering: Craft, manage, and scale the Management Information System (MIS) infrastructure and data engineering pipelines across multiple lending products and complex databases.
- Drive Transformation & Analytics Strategy: Oversee data score modelling and analytics during strategic company transformations, handling end-to-end execution and post-transformation evaluations.
- Perform Hands-on Data Programming: Utilise Python, R, SAS, and SQL to analyse complex financial datasets, execute advanced risk modelling, and automate data workflows.
- Optimise Portfolio Risk & Product Performance: Collaborate with cross-functional teams to monitor lending product performance, implementing major data-driven improvements across Multifinance, Fintech, or Banking product lines.
Key Requirements
Qualifications & Experience
- 8-10 years of experience within Indonesia's lending financial services sector.
- Relevant exposure to lending products within Multifinance, Banking, or Fintech organisations.
- Experience working with multiple lending products and complex database environments.
- Proven experience building credit score modelling and risk analytics frameworks from scratch.
- Exposure to company transformation initiatives, including strategy, execution, and post-transformation evaluation.
Technical / Functional Expertise
- Strong technical expertise in data modelling and data engineering.
- Hands-on experience developing and enhancing credit scoring models and risk analytics frameworks.
- Strong understanding of Management Information Systems (MIS) and data infrastructure.
- Advanced programming capability in Python, R, SAS, and SQL.
- Experience analysing complex financial datasets and automating data workflows.
- Strong knowledge of portfolio risk management and lending product analytics.
Soft Skills & Leadership Competencies
- Strong analytical and problem-solving capabilities.
- Ability to lead end-to-end projects in complex and evolving business environments.
- Effective stakeholder management and cross-functional collaboration skills.
- Ability to drive continuous improvement and data-driven decision-making.
- Strong communication and leadership skills with the ability to influence strategic outcomes.
