Description
About Monee
Monee is a leading digital payments and financial services provider in Southeast Asia, with a growing presence in Latin America. Its mission is to better the lives of individuals and businesses in the region with financial services through technology.
Monee delivers a comprehensive range of digital financial products and services, including mobile wallets, payment processing, credit, banking, and insurtech. By leveraging technology and strategic partnerships, Monee aims to drive greater digital financial inclusion, convenience, and accessibility for individuals and small businesses across Southeast Asia and Latin America.
Monee is part of Sea Limited, a global technology company.
The Fraud Risk Management team safeguards our users and business by identifying emerging fraud risks and developing data-driven strategies to mitigate them.
This role will be based in Singapore and support regional fraud risk management, with a focus on fraud typologies including scams, reverse scams and money mule activity, account takeover (ATO), and card fraud.
- Analyse large-scale transactional and behavioural datasets using SQL to identify fraud patterns, anomalies, and emerging risk trends.
- Conduct deep-dive investigations and root-cause analysis on fraud losses and fund flows to identify vulnerabilities and control gaps.
- Develop, backtest, and implement real-time fraud detection rules and risk strategies within decision engines.
- Monitor and optimise rule performance using metrics such as precision, recall, false-positive rates, and fraud losses.
- Tune risk thresholds and strategies to effectively mitigate fraud while maintaining a smooth user experience and conversion.
- Maintain dashboards and reporting to track key fraud metrics, including fraud losses, mule activity, emerging trends, and rule hit rates.
- Partner with regional stakeholders to understand market developments and continuously improve fraud risk controls.
- Support stakeholder alignment and market understanding through occasional business travel within the region when required.
- Bachelors in Data Science, Business Analytics, Statistics, Applied Mathematics, Financial Engineering or related fields.
- Relevant academic, internship, project, or professional experience in Fraud Analytics, Risk Analytics, Data Analytics, or a related field.
- Prior experience within fintech, payments, digital banking, e-commerce, or other relevant technology-driven industries is a plus.
- Strong proficiency in SQL, with the ability to query and analyse complex, large-scale datasets.
- Strong analytical and logical problem-solving skills, with the ability to investigate complex behavioural patterns and trace fraudulent fund flows.
- The role requires occasional business travel.