Fraud Prevention Analyst – Mid-Level

Banco Fibra

. Identify, investigate, and mitigate fraud risks throughout the origination workflow and across the contract lifecycle .

Posted 9/25/2026full-timeSão Paulo • BrazilMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Expertise in fraud risk identification and mitigation within payroll-deductible lending, with strong analytical skills in data validation and compliance with relevant regulations. Proficient in developing antifraud strategies and automating monitoring processes to enhance control effectiveness.

Highest-signal resume keywords

Fraud Prevention ExperienceData Analysis (SQL)Payroll-Deductible Lending KnowledgeRegulatory Compliance (BACEN, LGPD, AML/CTF)Link Analysis Tools

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Fraud Risk IdentificationData ValidationAntifraud SystemsCredit ScoringDocument Fraud AnalysisIdentity Fraud DetectionAutomation of Monitoring RoutinesDashboard DevelopmentTechnical Assessment ConsolidationEvidence Gathering

Soft Skills

Analytical ThinkingCollaborationCommunicationProblem SolvingAttention to Detail

Tools & Technologies

Data Analysis ToolsLink Analysis ToolsFraud Detection SystemsSQL DatabasesDashboards

Industry Keywords

Payroll-Deductible LendingFraud Risk ManagementFinancial InstitutionsComplianceAnti-Money LaunderingCounter-Terrorist FinancingGeneral Data Protection LawFraud TrendsModus OperandiInternal/External Audits

Tech Stack

Tools & technologies

SQL

About the role

Key responsibilities & impact

Identify, investigate, and mitigate fraud risks throughout the origination workflow and across the contract lifecycle
Monitor and analyze payroll-deductible loan transactions to identify indicators of document fraud, identity fraud, coercion, and internal/external fraud
Investigate alerts generated by antifraud models and rules, consolidating evidence and technical assessments
Validate the consistency of registration data, biometrics, available payroll-deduction margin, and agreement/processing-agent data throughout the origination workflow
Propose and implement improvements to antifraud rules, scores, and controls in collaboration with Risk, IT, and business teams
Automate control and monitoring routines, including data extraction, cross-referencing, and validation
Develop and maintain dashboards for fraud indicators and control effectiveness
Prepare periodic reports for Risk, Compliance, and executive management
Support internal and external audits and responses to BACEN inquiries related to fraud
Track fraud trends and modus operandi in the payroll-deductible lending market

Requirements

What you’ll need

Bachelor’s degree in Business Administration, Economics, Accounting, Engineering, Computer Science, Law, or a related field
Demonstrated experience in fraud prevention and/or analysis at financial institutions
Strong knowledge of payroll-deductible lending, including agreement rules, loan registration, available payroll-deduction margin, portability, and refinancing
Familiarity with applicable legislation and regulations, including BACEN, Brazil’s General Data Protection Law (LGPD), and Anti-Money Laundering and Counter-Terrorist Financing (AML/CTF) requirements
Experience with data analysis tools and databases (SQL), as well as antifraud systems and credit scoring
Previous experience at a bank or financial institution with a significant payroll-deductible loan portfolio
Experience with link analysis tools and relationship analysis, as well as device-based fraud detection
Intermediate to advanced English

Benefits

Comp & perks

Compensation aligned with the financial market
Meal and food allowance
13th-month food allowance payment
Profit-sharing plan (PLR)
Medical insurance
Transportation allowance
Gympass
Dental insurance
Childcare, nanny, and support allowance for children with disabilities
Extended maternity and paternity leave
Annual flu vaccination
Birthday day off
Flexible working hours
Educational partnerships
Commitment to inclusion of professionals from diverse backgrounds, including gender, race, religion, sexual orientation, disability, and age