Job Description

About PayJoy
PayJoy is a mission-first credit provider dedicated to helping under-served customers in emerging markets to achieve financial stability and success. Our patented technology for secured credit provides an on-ramp for new customers to enter the credit system. Through PayJoy’s point-of-sale financing and card offerings, customers gain access to a modern quality of life. PayJoy’s credit also allows our customers to seize opportunities as micro-entrepreneurs, and acts as insurance for tough times. Through our cutting-edge machine learning, data science, and anti-fraud AI, we have served over 18 million customers as of 2025 while achieving solid profitability for sustainable growth.
This role

We are looking for a strategic credit risk leader to build and own the credit risk function for PayJoy Indonesia. This is a founding leadership role: you will define the credit risk agenda from the ground up, determine the problems the function needs to solve, and be personally accountable for portfolio outcomes at the country level. PayJoy is a large global FinTech and we are excited to begin scaling our operations in Indonesia. Our mission of finance for the next billion has worked in 8 markets globally and we believe our mission and model are an exceptional fit for the Indonesian market.

You will start by doing — writing the policies, running the analysis, owning the regulatory relationships. After achieving economic scale you will grow the team. The ideal candidate has the technical depth to work in the data directly and the strategic instincts to set direction for an entire market. This is not a role where someone hands you a playbook. You write it.

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

Benefits