Fraud Risk Analytics Lead at Amartha

South Jakarta, Java, Indonesia -

Full Time

Start Date

Immediate

Expiry Date

03 Aug, 26

Salary

0.0

Posted On

05 May, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Fraud Risk Management, Data Analytics, SQL, Machine Learning, Fraud Detection Tools, Risk Framework Development, Root Cause Analysis, Anti-Fraud Policy Implementation, Behavioral Insights, Embedded Finance Security

Industry

Financial Services

Description

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. Bachelor’s degree in Finance, Economics, Engineering, Business Administration, or a related field are a plus. 7+ years’ experience in fraud risk management, preferably within digital lending, embedded finance, banking, and fintech. Strong in Data Analytics, good knowledge in query and SQL. Strong knowledge of fraud detection tools and e-money/ e-wallet security system. Strong knowledge of fraud patterns, fraud rules, and fraud analytics. Proven track record in developing and managing risk frameworks for digital products, digital loans and embedded finance. Excellent communication and collaboration skills with the ability to work across teams and external partners At Amartha, we are dedicated to creating a workplace that celebrates diversity, ensures equity, and fosters inclusion. We believe that diverse perspectives—shaped by factors such as gender, age, race, ethnicity, education, culture, and life experiences—drive innovation and growth. We actively welcome individuals from all backgrounds to join us in building an environment where everyone feels respected, valued, and empowered. Our commitment is to provide equal opportunities and foster a sense of belonging that enables our employees to thrive and make meaningful contributions.

Responsibilities

Establish and oversee fraud detection and prevention frameworks using analytics and machine learning for digital lending platforms. Collaborate with cross-functional teams to embed fraud controls into digital products and automate monitoring processes.