{"id":3939157,"url":"https://alion.io/job/exl-fraud-analytics-manager","title":"Fraud Analytics Manager","company":{"id":38016,"name":"EXL","domain":"exlservice.com","url":"https://alion.io/company/exl","size_band":"5000+","is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"Oracle","truth_index":{"grade":"B","score":76,"open_postings":252,"ghost_share":0,"stale_share":0.972,"repost_share":0,"time_to_fill_p50_days":26,"computed_at":"2026-11-08T05:47:12Z"}},"role":"Analytics","role_family":"Analytics","seniority":"middle","employment_type":null,"work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Microsoft Excel","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"Fine-tuning","optional":true},{"name":"LLM","optional":true}],"status":"live","first_seen_at":"2026-11-03T16:26:12Z","employer_posted_date":"2026-11-03","last_verified_at":"2026-11-08T11:48:47Z","board_verified":true,"closed_at":null,"days_open":4,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":4},"description":"Job Location: Jersey City, NJ (Hybrid)\nSalary Range: $100K - $130K/Yr Base plus Bonus and Benefits\nWe are seeking an experienced Fraud Analytics Manager to design and evaluate fraud-focused decisioning and conversational AI solutions for a leading banking client. The ideal candidate combines deep fraud-domain expertise with hands-on analytical skills and the ability to translate fraud policies, operating procedures, and data into clear, accurate, and testable decision logic.\nThe role calls for sound judgment in handling banking and transactional data, and the ability to coordinate across Fraud Operations, Business, Technology, and Analytics teams. The candidate will serve as the key US-based point of coordination between client stakeholders and India-based delivery teams.\n Partner with Fraud Operations, Business, Analytics, and Technology stakeholders to understand fraud processes, policies, data, and business requirements.\nInterpret and simplify fraud standard operating procedures (SOPs), translating them into clear, accurate, and testable decision logic.\nReview and validate decision logic against documented policies, operational scenarios, and expected business outcomes.\nAnalyze transactional and fraud-related data, including disputes, unauthorized transactions, card activity, and investigation outcomes.\nApply appropriate controls when handling personally identifiable information (PII) and other sensitive banking data.\nUse SQL, Python, and/or advanced Excel to perform data analysis, testing, reconciliation, and validation.\nIdentify gaps, inconsistencies, and ambiguous scenarios across fraud procedures, data, and decision logic.\nCoordinate client discussions and drive alignment across Fraud Operations, Business, Technology, and other stakeholder groups.\nPrepare and deliver client-ready presentations, evaluation summaries, process documentation, and progress updates.\nManage on-site client interactions and coordinate requirements, feedback, and delivery with India-based teams.\nTrack key decisions, open questions, risks, dependencies, and validation outcomes through to completion.\n REQUIRED SKILLS & QUALIFICATIONS\nBachelor's or master's degree in Business, Finance, Economics, Statistics, Data Science, Computer Science, or a related field.\n4+ years of experience in fraud analytics, fraud operations, risk analytics, or a related banking domain.\nStrong understanding of banking fraud, preferably in retail banking, consumer cards, payments, disputes, or fraud operations.\nExperience with transactional data, unauthorized transaction data, disputes, fraud cases, or investigation outcomes.\nAbility to interpret complex business policies and procedures and convert them into structured business rules or decision logic.\nExperience designing test cases, evaluation criteria, validation frameworks, or quality-control processes.\nHands-on proficiency in SQL and working knowledge of Python and/or advanced Excel.\nStrong analytical judgment and attention to detail when reviewing data and business logic.\nStrong client coordination, stakeholder management, presentation, and documentation skills.\nAbility to explain complex fraud and analytical concepts clearly to both business and technical audiences.\nExperience working in cross-functional environments with geographically distributed teams.\nPREFERRED QUALIFICATIONS\nExperience in consumer cards, retail banking, payments, or digital fraud.\nBasic understanding of AI and large language model (LLM) concepts, including prompting, fine-tuning, deterministic workflows, evaluation, and ground truth.\nExperience evaluating AI-generated outputs or recommendations against established business rules and expected outcomes.\nFamiliarity with data-labeling or annotation processes and tools used to build golden datasets.\nPrior experience working directly with banking clients in an analytics, consulting, risk, or technology-delivery environment.","description_format":"text","description_chars":3922,"description_truncated":false,"requirements":{"experience_years_min":4,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Fraud Detection","Business Process Outsourcing (BPO)","AI Consulting & Integration","Analytics & BI 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