Fraud Analytics & Risk Strategy Lead

Kredivo Group; Jakarta Pusat; On-site; IDR 600,000,000 - 850,000,000; Full time

Job summary

Kredivo Group is seeking a Fraud Analytics Lead to guide analytics initiatives across onboarding, transactions, and user activity. You will translate data into actionable risk controls and collaborate with Fraud Operations and product teams to balance risk with growth.

The ideal candidate has 8+ years in fintech fraud analytics, 2+ years leading teams, strong SQL skills, and fluent English. You will mentor analysts and deliver scalable detection rules and dashboards.

Qualifications

• Minimum 8 years of experience in fraud analytics/risk analytics/data analytics in fintech/digital lending/digital banking/e-commerce.
• At least 2 years leading analytics teams.
• Conversational English required.

Responsibilities

• Lead fraud analytics strategies across onboarding, transactions, account activity, merchant activity, and other journey segments.
• Analyze fraud trends, suspicious patterns, and portfolio behavior to identify risks and preventive actions.
• Develop, review, and optimize fraud rules, thresholds, segmentation logic, and monitoring parameters.
• Build, maintain and monitor fraud dashboards, early warning indicators, fraud risk metrics, and regular management reporting.
• Work closely with Fraud Operations to translate investigation findings into scalable detection rules and controls.
• Partner with cross-functional teams to implement prevention, detection, monitoring and implementation.
• Provide analytical support for new product launches and business initiatives from a fraud risk perspective.
• Lead and mentor fraud analysts, ensuring strong analytical quality and timely delivery.

Skills

SQL

Data analytics

Fraud analytics

Leadership

English language

Job description

Kredivo Group is seeking a Fraud Analytics Lead to guide analytics initiatives across onboarding, transactions, and user activity. You will translate data into actionable risk controls and collaborate with Fraud Operations and product teams to balance risk with growth.

The ideal candidate has 8+ years in fintech fraud analytics, 2+ years leading teams, strong SQL skills, and fluent English. You will mentor analysts and deliver scalable detection rules and dashboards.