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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in fraud analytics and operations, with strong proficiency in SQL and Python for data analysis. Capable of translating complex business policies into structured decision logic while effectively managing stakeholder communications and presentations.
Highest-signal resume keywords
Fraud AnalyticsSQL ProficiencyStakeholder ManagementData AnalysisBusiness Policy Interpretation
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
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Hard Skills
SQLPythonAdvanced ExcelData AnalysisFraud OperationsRisk AnalyticsTest Case DesignValidation FrameworksQuality-Control ProcessesAnalytical Judgment
Soft Skills
Client CoordinationPresentation SkillsAttention to DetailCommunication SkillsStakeholder Engagement
Industry Keywords
Banking FraudRetail BankingConsumer CardsPaymentsFraud ProceduresDisputesInvestigation OutcomesPersonally Identifiable InformationAI ConceptsData-Labeling Processes
Tech Stack
Tools & technologiesPythonSQL
About the role
Key responsibilities & impact- Partner with Fraud Operations, Business, Analytics, and Technology stakeholders to understand fraud processes, policies, data, and business requirements
- Interpret and simplify fraud standard operating procedures (SOPs), translating them into clear, accurate, and testable decision logic
- Review and validate decision logic against documented policies, operational scenarios, and expected business outcomes
- Analyze transactional and fraud-related data, including disputes, unauthorized transactions, card activity, and investigation outcomes
- Apply appropriate controls when handling personally identifiable information (PII) and other sensitive banking data
- Use SQL, Python, and/or advanced Excel to perform data analysis, testing, reconciliation, and validation
- Identify gaps, inconsistencies, and ambiguous scenarios across fraud procedures, data, and decision logic
- Coordinate client discussions and drive alignment across Fraud Operations, Business, Technology, and other stakeholder groups
- Prepare and deliver client-ready presentations, evaluation summaries, process documentation, and progress updates
- Manage on-site client interactions and coordinate requirements, feedback, and delivery with India-based teams
- Track key decisions, open questions, risks, dependencies, and validation outcomes through to completion
Requirements
What you’ll need- Bachelor's or master's degree in Business, Finance, Economics, Statistics, Data Science, Computer Science, or a related field
- 4+ years of experience in fraud analytics, fraud operations, risk analytics, or a related banking domain
- Strong understanding of banking fraud, preferably in retail banking, consumer cards, payments, disputes, or fraud operations
- Experience with transactional data, unauthorized transaction data, disputes, fraud cases, or investigation outcomes
- Ability to interpret complex business policies and procedures and convert them into structured business rules or decision logic
- Experience designing test cases, evaluation criteria, validation frameworks, or quality-control processes
- Hands-on proficiency in SQL and working knowledge of Python and/or advanced Excel
- Strong analytical judgment and attention to detail when reviewing data and business logic
- Strong client coordination, stakeholder management, presentation, and documentation skills
- Ability to explain complex fraud and analytical concepts clearly to both business and technical audiences
- Experience working in cross-functional environments with geographically distributed teams
- Preferred: experience in consumer cards, retail banking, payments, or digital fraud
- Preferred: basic understanding of AI and large language model (LLM) concepts, including prompting, fine-tuning, deterministic workflows, evaluation, and ground truth
- Preferred: experience evaluating AI-generated outputs or recommendations against established business rules and expected outcomes
- Preferred: familiarity with data-labeling or annotation processes and tools used to build golden datasets
- Preferred: prior experience working directly with banking clients in an analytics, consulting, risk, or technology-delivery environment
Benefits
Comp & perks- Bonus
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