Advanced Fraud Analytics: Conduct deep-dive data analytics on the PayLater portfolio to detect shifting behavioral patterns and transaction trends among high-risk or fraudulent users, directly contributing to the optimization of fraud detection models.
Investigation & Loss Mitigation
Incident Investigation & Countermeasures: Analyze complex TPayLater fraud cases at scale to design actionable countermeasures, implement robust fraud rules, and recommend product-level fixes.
Financial Recovery: Execute strategic asset recovery actions to minimize actual or potential financial losses while actively supporting Gross Booking Value (GBV) growth.
Process & Framework Optimization
Framework Improvement: Continuously evaluate and refine early investigation frameworks across the PayLater ecosystem, payments, and the broader platform to enhance operational efficiency.
Compliance, KYB & Stakeholder Management
Regulatory & External Relations: Serve as the primary point of contact for fraud-related inquiries, delivering precise and timely responses to regulators (OJK), law enforcement agencies, and internal product teams.
Risk Mitigation (KYB/KYE): Execute rigorous Know Your Business (KYB) checks for merchants to secure the lending space, and manage internal Know Your Employee (KYE) reporting compliance.
Intelligence & Awareness
Fraud Intelligence: Perform proactive intelligence-gathering to uncover emerging fraud modus operandi and preemptively intercept risks.
Customer Awareness: Partner with social media and cross-functional teams to design and drive customer-facing fraud awareness initiatives.
Requirements
Have 5-7 years’ experience in Fraud Investigation/Management in unsecured personal loan/BNPL. Some experience in card payments fraud and/or chargeback handling is highly appreciated.
Proficient understanding of OJK regulations, fraud landscape in BNPL, and with credit-related fundamentals.
Fluency in data analytics and comfortable in presenting findings and patterns backed with data; detail oriented and vigorous pattern-recognition; able to move fast with imperfect data.
Bachelor’s degree in any major, preferably in STEM from a reputable university with minimum GPA of 3.5 on a 4.0 scale.
Demonstrated experience working horizontally cross-functions and vertically.
Proven track record building and owning P&L; comfortable with end-to-end accountability target-setting to variance resolution.
Good interpersonal and communication skill, comfortable translating between technical and business terms.
Fluency in English both in written & verbal.
Honest and ethical with high levels of integrity and confidentially.
Comfortable with ambiguity and iterative approach.
