Senior Fraud Analytics

• 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
• 3–6 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