Credit Risk Director

Responsibilities

• Define the credit risk agenda for Indonesia — identify the highest-priority problems the function needs to solve, determine how to approach them, and be accountable for outcomes at the country level
• Lead PayJoy’s risk strategy function in Indonesia with domain expertise and a quantitative approach to risk strategy. If you don’t love driving the quantitative aspects of risk strategy this is not the job for you.
• Build the end-to-end credit risk framework from the ground up: underwriting policy, credit limit strategy, scorecard operationalization, and collections risk approach
• Apply, evaluate, and refine predictive credit models, working closely with data science to translate model outputs into credit policy and decisioning rules
• Set the direction for portfolio monitoring and loss mitigation — define what to measure, how to interpret it, and what actions to take
• Own the regulatory relationship with OJK directly; be the accountable leader for all credit risk compliance obligations under the Indonesian multi-finance company (MFC) framework
• Bring country leadership, product, and global stakeholders along on the credit risk strategy journey — setting the agenda and tailoring our financial offer for overall financial success in Indonesia
• Leverage modern AI-powered developer tools (such as Claude Code) to streamline and automate recurring analytical processes, improving the speed and reliability of credit risk workflows
• Recruit, build, and develop a credit risk team as the Indonesia business scales — defining the structure, hiring bar, and operating model for the function you’ve created

Requirements

• 10+ years of credit risk experience, with a track record of defining strategy and owning outcomes — not just executing within someone else’s framework
• Deep understanding of the Indonesian lending landscape; experience with multi-finance companies (MFC) or consumer finance regulated by OJK strongly preferred
• Having passed OJK’s Fit and Proper Test (FPT) is preferred; candidates who have not yet completed it should be prepared to do so as part of onboarding into a licensed MFC leadership role
• Demonstrated ability to build a credit risk function or framework from scratch in a market, not just manage within an established one
• Proven ability to apply and operationalize credit models — translating analytical outputs into underwriting policy and decisioning rules
• Strong hands-on technical skills in SQL and Python — you can go deep in the data yourself and hold your team to the same standard
• Experience with AI/ML applications in credit risk (e.g., gradient boosting models, alternative data, real-time scoring)
• Comfortable leveraging modern AI tools to improve analytical efficiency and automate recurring workflows
• Highly effective at influencing without authority — you set direction for stakeholders who don’t report to you and bring them along through rigor and credibility
• Comfortable operating in ambiguity and making high-stakes decisions with incomplete information
• Willingness to be based in Jakarta; candidates from outside Indonesia are welcome to apply and relocation support will be provided