Fraud Risk Analyst, Strategy & Analytics - Credit

About The Team

This is a regional role covering ASEAN markets, supporting fraud risk strategy for Monee's consumer credit products.

You will work closely with product, engineering, and business teams to help design and scale risk controls in a fast-growing environment, with exposure to business impact and opportunities to contribute to strategy decisions across multiple markets.

Job Description

Support the development and refinement of fraud risk strategies across key risk areas, including transaction misuse, merchant-related risks, coordinated fraud activity, and scam-related threats across the credit lifecycle

Assist in structuring ambiguous fraud problems into clear hypotheses with defined success metrics

Apply data analytics and basic machine learning methods to identify patterns, quantify exposure, and evaluate strategy performance

Help establish and track key indicators across the four scenes; monitor trends and support ongoing strategy iteration

Analyze daily risk exposure and fraud loss P&L prepare insights and recommendations for review by senior team members

Support analysis of local market dynamics and cross-market fraud patterns to inform regional strategy frameworks

Develop KPI reports and contribute to continuous improvement of business policies and processes

Requirements

Bachelor's degree in Computer Science, Engineering, Business Analytics, Information Technology, Finance, Statistics, or a related field

Minimum 1 year of hands-on experience in data analytics or applied data science

Experience in the finance, banking, or fintech sector is a plus

SQL and Python — working proficiency; used for analysis, data preparation, and basic prototyping

AI coding assistants — familiarity with tools such as Claude Code, Codex, or similar is a plus

Machine learning methods — basic understanding and some hands-on exposure to supervised learning, anomaly detection, or related techniques

Statistical reasoning — foundational knowledge of hypothesis testing and experimentation

Written and verbal communication — able to present data insights clearly with guidance

Problem-solving ability — able to break down problems into manageable components with support from senior team members

Domain interest — exposure to payment fraud, merchant risk, or related areas is preferred

Collaboration — ability to work effectively with cross-functional teams in a fast-paced environment