Fraud Risk Analytics Lead for Digital Lending

Amartha Financial; Jakarta Timur; On-site; IDR 223,200,000 - 334,800,000; Full time

Job summary

Amartha Financial is seeking a Fraud Risk Analytics Lead to enhance its digital risk management team. This role focuses on shaping risk management strategies for our digital lending platforms while ensuring secure financial solutions. Responsibilities include establishing fraud detection frameworks, conducting fraud analytics, and collaborating with teams to integrate fraud mechanisms into digital products. The ideal candidate should have over 7 years' experience in fraud risk management and strong skills in data analytics and fraud detection tools.

Qualifications

• 7+ years' experience in fraud risk management, preferably within digital lending, embedded finance, banking, and fintech.
• Strong knowledge of fraud detection tools and e‑money/e‑wallet security systems.
• Proven track record in developing and managing risk frameworks for digital products.

Responsibilities

• Establish fraud detection and prevention frameworks that leverage analytics, machine learning, and behavior insights.
• Conduct fraud analytics, including the development of promo abuse risk scoring and creation of fraud rule scenarios.
• Collaborate with product, technology and third-party providers to embed fraud detection mechanisms.

Skills

Data Analytics

Fraud detection tools

SQL

Fraud patterns and analytics

Education

Bachelor's degree in Finance, Economics, Engineering, Business Administration, or a related field

Job description

Amartha Financial is seeking a Fraud Risk Analytics Lead to enhance its digital risk management team. This role focuses on shaping risk management strategies for our digital lending platforms while ensuring secure financial solutions. Responsibilities include establishing fraud detection frameworks, conducting fraud analytics, and collaborating with teams to integrate fraud mechanisms into digital products. The ideal candidate should have over 7 years' experience in fraud risk management and strong skills in data analytics and fraud detection tools.