Fraud Risk Analytics Lead

Amartha is a technology company focused on creating shared prosperity by developing digital financial solutions for the grassroots economy. Founded in 2010 as a microfinance institution, Amartha connects rural, women-led micro-enterprises with affordable capital. Amartha is expanding as a tech company, building a microfinance ecosystem that connects to the growing digital economy through capital, investment, and payment services. By boosting the competitiveness of micro and small entrepreneurs, Amartha empowers women-led MSMEs, creates jobs, and fosters inclusive economic growth.

About The Team Amartha is actively expanding its digital risk management team as part of our strategic focus on digital transformation in 2025. We are looking to strengthen our capabilities in managing digital lending risks to support our growing portfolio of digital financial products. To this end, we are currently seeking a highly skilled Fraud Risk Analytics Lead to join our team. This role will play a critical part in shaping and overseeing the risk management strategies for our digital lending platforms, ensuring that we continue to provide secure and effective financial solutions to our customers while mitigating potential risks in a rapidly evolving digital landscape.

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, creation of fraud rule scenarios, analysis of emerging fraud patterns, and identification of process vulnerabilities. • Develop and implement anti-fraud policies and procedures for digital products. • Collaborate with data science teams to develop fraud detection algorithms. • Collaborate with product, technology and third-party providers to embed fraud detection mechanism into digital products and customer journeys.  • Conduct root cause analysis on confirmed fraud cases to identify vulnerabilities and implement control measures.  • Work closely with internal teams such as fraud investigator, product, technology, credit risk, data science and compliance to ensure fraud controls are integrated into all digital products and partnerships.  • Lead initiatives to automate and streamline fraud monitoring processes, improving efficiency and accuracy.