Develop strategy and analysis based on data to identify the most effective ways to preserve user quality and detect fraudulent patterns or behaviour on the platform
Prepare detailed decks and reports covering planning and operational metrics related to fraud and platform health
Produce regular management updates on the progress of fraud cases and overall platform health and quality
Identify opportunities for automation and optimisation across fraud-related operational processes
Collaborate with cross-functional stakeholders (Risk, Operations, Product) to support data-driven fraud prevention initiatives
Work closely with the Regional Fraud Team to align on fraud detection strategies, share platform-level insights, and support cross-market fraud initiatives
Requirements
Bachelor's degree in Statistics, Mathematics, Engineering, Computer Science, Business, or a related field
2–4 years of professional experience in fraud, risk, business analytics, or a related role
Prior background in fraud/risk, business analysis, or equivalent role is strongly preferred
Strong problem-solving and analytical skills with solid business acumen and judgment
Demonstrated ability to identify patterns, synthesise data, and translate findings into actionable recommendations
Strong leadership potential with sharp logical reasoning skills
Good communication skills — able to present findings clearly to both technical and non-technical stakeholders, including regional counterparts
Proficiency in SQL and spreadsheets (Excel / Google Sheets); familiarity with BI tools is a plus
