Head of Fraud Analytics & Corporate Risk

PT Fliptech Lentera Inspirasi Pertiwi; Jakarta Utara; On-site; IDR 1,500,000,000 - 2,500,000,000; Full time

Job summary

PT Fliptech Lentera Inspirasi Pertiwi is seeking a Head of Fraud Analytics & Corporate Risk to define and drive the fraud analytics strategy across all products and payment channels. You will lead the analytics team focused on transaction monitoring, rule optimization, and fraud investigations, delivering dashboards, KPIs, and governance at executive level.

You will collaborate with Product, Engineering, Compliance, Data Science, and Business units to embed fraud prevention into product design

Qualifications

• 10+ years in Fraud Analytics or Financial Crime.
• Leading analytics teams at an organizational level.
• Deep understanding of fraud typologies and detection.
• Experience with large-scale transactional datasets.
• Knowledge of regulatory requirements related to fraud prevention.

Responsibilities

• Own and define fraud analytics strategy across products and channels.
• Lead the fraud analytics team and monitoring activities.
• Develop dashboards and KPIs to measure fraud exposure and risk.
• Optimize detection rules, ML signals, and decision strategies.
• Analyze large datasets to identify fraud trends and vulnerabilities.
• Collaborate with Product, Engineering, Compliance, Data Science, and Business teams.
• Provide strategic recommendations for new initiatives from a fraud risk view.
• Support regulatory reviews, audits, and governance.
• Establish fraud governance processes and executive reporting.

Skills

Fraud analytics

Leadership

Stakeholder management

Regulatory knowledge

Strategic thinking

Communication

SQL

Python/R

Data analysis

Tools

SQL

Python

R

Job description

Head of Fraud Analytics & Corporate Risk

• Own and define Flip's fraud analytics strategy across all products, payment channels, and customer journeys.
• Lead the fraud analytics team responsible for transaction monitoring, fraud detection, rule optimization, fraud investigations, and fraud performance reporting.
• Develop scalable fraud monitoring frameworks, dashboards, and KPIs to continuously measure fraud exposure, operational effectiveness, and customer impact.
• Drive continuous optimization of fraud detection rules, machine learning signals, thresholds, and decision strategies to maximize fraud prevention while minimizing customer friction and false positives.
• Analyze large-scale transactional, behavioral, and operational datasets to identify fraud trends, attack patterns, emerging risks, and systemic vulnerabilities.
• Partner closely with Product, Engineering, Operations, Compliance, Data Science, and Business teams to embed fraud prevention into product design and operational processes.
• Provide strategic recommendations for new product launches, payment methods, customer journeys, and business initiatives from a fraud risk perspective.
• Lead fraud analytics support for regulatory reviews, audits, investigations, and compliance requirements, ensuring proper documentation and governance.
• Establish fraud governance processes, reporting standards, and executive-level risk communication.
• Drive continuous improvement in fraud detection methodologies by leveraging advanced analytics, automation, AI, and emerging technologies.
• Build, mentor, and develop a high-performing fraud analytics organization, fostering strong analytical capabilities, innovation, and ownership.
• Represent Fraud Analytics in executive discussions and serve as the primary advisor on fraud-related strategic decisions.
• Oversee the design and implementation of the monetary/reputational risk management framework, policies, and procedures.
• Present regular risk assessments and strategic recommendations to the Board of Directors and senior leadership.

Requirement

• 10+ years of experience in Fraud Analytics, Fraud Risk Management, Risk Analytics, or Financial Crime, preferably within fintech, payments, banking, digital banking, or consumer finance.
• Proven experience leading fraud analytics teams and managing fraud strategies at an organizational level.
• Deep understanding of payment ecosystems, fraud typologies, transaction monitoring, authentication, chargebacks, account takeover, mule detection, scams, and digital payment fraud.
• Strong expertise in fraud analytics, fraud detection methodologies, fraud operations, and fraud performance management.
• Advanced analytical and problem-solving skills with experience working with large-scale transactional and behavioral datasets.
• Strong SQL proficiency and familiarity with Python, R, or similar analytical tools.
• Hands‑on coding experience is preferred but the ability to lead technical analytics initiatives is essential.
• Experience designing fraud rules, detection strategies, fraud KPIs, and fraud decision frameworks.
• Strong knowledge of regulatory requirements related to fraud prevention, AML, payment risk, and financial crime.
• Experience collaborating with regulators, auditors, compliance teams, and external partners.
• Excellent communication and stakeholder management skills, with the ability to influence senior leadership and translate complex analytical insights into business decisions.
• Proven track record of building, mentoring, and leading high-performing analytics teams.
• Strategic mindset with the ability to balance customer experience, business growth, operational efficiency, and fraud risk.