Regional Fraud Risk Analyst - Digital Bank

Monee; Singapore; On-site; SGD 70,000 - 120,000; Full time

Job summary

Monee is seeking a fraud analytics professional based in Singapore to join the Fraud Risk Management team. You will analyze large-scale datasets, develop and backtest real-time detection rules, and drive risk strategies to combat fraud while preserving a smooth user experience.

You will collaborate with regional stakeholders, conduct deep-dive investigations, and optimise rule performance. Willingness to travel within the region may be required.

Qualifications

• Bachelor’s degree or higher in a quantitative field.
• Experience in Fraud Analytics, Risk Analytics, or Data Analytics is preferred.
• Experience in fintech/payments/digital banking or tech industries is a plus.

Responsibilities

• 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 mitigate fraud while maintaining 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.

Skills

Fraud analytics

Data analytics

Analytical thinking

Problem solving

Stakeholder communication

Education

Bachelor's in Data Science, Business Analytics, Statistics, Applied Mathematics, Financial Engineering or related fields

Tools

SQL

Job description

About The Team

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.

Job Description

• 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.

Requirements

• 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.