Lead Data Analyst (Fraud Analytics)

Maya Mandaluyong, National Capital Region, PhilippinesJoin or sign in to find your next jobJoin to apply for the Lead Data Analyst (Fraud Analytics) role at MayaMaya Mandaluyong, National Capital Region, Philippines1 week ago Be among the first 25 applicantsJoin to apply for the Lead Data Analyst (Fraud Analytics) role at MayaThe Fraud Analytics Senior Lead will spearhead the efforts in preventing and detecting fraudulent activities across multiple platforms.

Role is expected to conducts all data processing including data preparation, data analysis, visualization and prepare data driven proposal on fraud strategy for all products, processes and systems utilized by the Anti-fraud team.

He / She will manage a team of fraud analytics, work closely with cross-functional teams (Products, Tech, RCO, Legal, Operations and other units as per need basis), and leverage data to build predictive / detective models and optimize fraud strategies across all products and processes.What you will do : Fraud Review and AnalyticsConducts overall fraud analytics related to all products within OneMaya and collaborate with the Anti-fraud team to address potential risks that are not covered.Ensure robust and continuous fraud monitoring with appropriate triggersGenerate daily management level reporting to report fraud risk related to entire portfolioReview Standard fraud controls for all wallet and banking products and work with stakeholders (and Fraud compliance) to ensure compliance.Design and implement robust fraud prevention and detection measures, leveraging data analytics and advanced technologies to identify and mitigate risks proactively.Analyzes data and generate insights on trends, fraud patterns, and operational performance, providing regular reports and updates to senior management.Utilizes performance data to drive continuous improvement initiatives, optimizing processes and decision- making frameworks to achieve operational excellenceBusiness Intelligence and ReportingAid in automating manual tasks being done by any unit in Antifraud for faster turnaround time on investigationWork together with necessary teams on possibility of establishing predictors that can be consumed different use case (like underwriting, collections, operations, etc)Working closely with the DS team for fraud model development, validation, review and fine-tuning Investigation Support & ForensicsIdentifying fraud patterns, understanding modus operandi, and conducting impact assessmentsDevelop a strategy and actionable items to reduce fraud numbers, including creating or refining alerts and models, proposing a new SOP, and escalating findings to relevant stakeholdersHelped FCI in enhancing process through data access for faster investigation turnaroundHelp Anti-Fraud and AML teams in finding answers through data : Provide data support for investigations to understand the modus operandi and profile fraudulent actors.Conduct deep-dive data investigations for major cases : Perform impact analysis, root cause analysis, and post-mortem reviews to strengthen fraud controls.Team ManagementOffer support and guidance to team members by addressing challenges, providing feedback, and facilitating professional development opportunities.Identify skills gaps within the team and provide training opportunities or resources to develop their professional skills.Address and mediate any conflicts that may arise within the team, ensuring that the work environment remains collaborative and respectful.What we are looking for : Minimum 7 years' experience in the field of Lending fraud assessment, Identity fraud prevention & Fraud Data Analytics.Proven experience in building and deploying fraud detection models using machine learning, statistical analysis, and big data technologies (e.g., Python, R, SQL, Spark, Hadoop).Experience in SQL coding and utilization of visualization tools is required.Digital Banking & Lending experience on fraud analytics is required.Experience on managing a team of fraud analytics is required.Seniority levelSeniority levelMid-Senior levelEmployment typeEmployment typeFull-timeJob functionJob functionAnalyst, Information Technology, and EngineeringIndustriesFinancial Services, Banking, and IT Services and IT ConsultingReferrals increase your chances of interviewing at Maya by 2xGet notified about new Data Analyst jobs in Mandaluyong, National Capital Region, Philippines.Manila, National Capital Region, Philippines 1 week agoMandaluyong, National Capital Region, Philippines 1 week agoTaguig, National Capital Region, Philippines 2 weeks agoData Analyst - 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