Credit Scoring & MIS Manager (Financial Services)

Monroe Consulting Group; Indonesia; On-site; IDR 600,000,000 - 1,200,000,000; Full time

Job summary

Monroe Consulting Group partners with a major organisation in Indonesia to hire a Credit Scoring & MIS Manager. The role leads credit risk analytics, MIS initiatives, and data engineering across lending products, aimed at improving underwriting accuracy and portfolio quality.

Responsibilities include developing credit scoring models, leading MIS infrastructure, driving data-led transformation, and hands-on programming using Python, R, SAS, and SQL to optimise risk and product performance.

Qualifications

• 8–10 years of experience in Indonesia's lending financial services sector.
• Proven credit scoring modelling and risk analytics experience.
• Exposure to Multifinance, Banking or Fintech product lines.
• Strong MIS and data engineering exposure.

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.

Skills

Credit risk analytics

MIS

Data engineering

Python

R

SQL

SAS

Leadership

Stakeholder management

Tools

Python

R

SAS

SQL

Job description

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.