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Senior Analyst, Formalization Strategy & Policies – Fraud Prevention
Omni ConectadoAnalista sênior desenvolvendo políticas antifraude para financiamentos de veículos da Omni. Convertendo dados em estratégias, indicadores e decisões de risco.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in fraud prevention strategies and data analysis within the financial services industry, leveraging advanced Excel and SQL skills to develop performance indicators and actionable insights. Proficient in creating data-driven recommendations and enhancing decision-making processes through effective collaboration with cross-functional teams.
Highest-signal resume keywords
Fraud Prevention Strategy DevelopmentData Analysis and InterpretationKPI and Dashboard MonitoringAdvanced Excel SkillsSQL for Data Extraction and Analysis
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data AnalysisFraud PreventionKPI DevelopmentData VisualizationPerformance Indicator TrackingPattern RecognitionDecision-Making StrategiesRisk MitigationOperational EfficiencyFormalization Policies
Soft Skills
CollaborationCommunicationProblem-SolvingPresentation SkillsAnalytical Thinking
Tools & Technologies
Power BITableauDatabasesData Protection Layers
Industry Keywords
Financial ServicesVehicle FinancingFraud TypesDocument FraudIdentity FraudBiometric FraudSocial EngineeringLien Registration Fraud
Tech Stack
Tools & technologiesSQLTableau
About the role
Key responsibilities & impact- Develop, review, and enhance formalization and fraud prevention policies and strategies for vehicle financing origination
- Develop analyses and performance indicators to track performance, losses, attempted fraud, and control effectiveness
- Identify patterns, trends, anomalies, and suspicious behavior through data analysis
- Monitor different types of fraud, including document fraud, identity fraud, biometric fraud, social engineering, lien registration fraud, and other origination-related irregularities
- Create and enhance rules, criteria, and decisioning strategies, balancing risk mitigation, operational efficiency, and customer experience
- Partner with Product, Credit, Technology, Data, Operations, and other teams involved in the origination journey
- Turn analyses into practical recommendations to support decision-making
- Support the evolution of the tools, databases, and protection layers used in the origination process
- Prepare executive presentations, translating complex data and analyses into clear, results-oriented insights
- Contribute to building a data-driven decision-making and risk management culture
Requirements
What you’ll need- Experience in strategy, policies, credit, formalization, or fraud prevention, preferably in the financial services industry
- Bachelor’s degree in Business Administration, Economics, Engineering, Statistics, Mathematics, Data Science, Technology, or a related field
- Advanced Excel skills
- Intermediate to advanced SQL skills for data extraction, processing, and analysis
- Ability to interpret data, identify patterns, and turn analyses into decisions
- Experience developing and monitoring KPIs and dashboards
- Knowledge of data visualization tools such as Power BI, Tableau, or similar platforms
Benefits
Comp & perks- Childcare assistance for children up to 6 years and 11 months old
- TotalPass membership to support your physical well-being
- Hybrid 3x2 work model (remote and on-site)
- Flexible meal and food allowance card
- Transportation allowance
- Medical and dental insurance (SulAmérica, private-room coverage)
- Life insurance
- Wellness program, including running and much more
- Birthday day off
- Conexa Saúde – online consultations with no co-payment
- Profit-sharing program
- No dress code – be yourself!
- Flexible working hours
- Corporate University