Fraud Analytics Manager – Banking, AI Solutions

EXL

. Partner with Fraud Operations, Business, Analytics, and Technology stakeholders to understand fraud processes, policies, data, and business requirements .

Posted 11/6/2026full-timeJersey City • New Jersey • United StatesMid-LevelSenior💰 $110,000 - $140,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in fraud analytics and operations, with strong proficiency in SQL and Python for data analysis. Capable of interpreting complex business policies into structured decision logic while effectively managing client interactions and stakeholder communications.

Highest-signal resume keywords

Fraud AnalyticsSQL ProficiencyClient CoordinationData AnalysisStakeholder Management

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Fraud OperationsData ScienceRisk AnalyticsTest Case DesignValidation FrameworksBusiness Rules InterpretationAttention to DetailAnalytical JudgmentQuality-Control ProcessesTransactional Data Analysis

Soft Skills

Presentation SkillsDocumentation SkillsCommunication SkillsStakeholder EngagementCross-Functional Collaboration

Tools & Technologies

Advanced ExcelPythonSQL

Industry Keywords

Banking FraudRetail BankingConsumer CardsPaymentsDisputes

Tech Stack

Tools & technologies

PythonSQL

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

Benefits

Comp & perks

Base salary of $110K–$140K per year
Bonus
Benefits