Fraud Strategy Analyst

🕒 il y a 8 jours

🤠 Texas – Distant

info

💵 $77 700 - $132 300 / an

⏰ Temps Plein

🟡 Intermédiaire

🟠 Senior

🧐 Stratégie

🗣️🇺🇸🇬🇧 Anglais requis

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Logo of RealPage, Inc.

RealPage, Inc.

5001 - 10000 employés

💼 Conseil

📦 Logistique

📣 Marketing

💰 €18 643 000 Post-IPO Equity - RealPage en 2022-01

Consulting • Logistics • Marketing

RealPage, Inc. est un fournisseur de logiciels et services de gestion de biens immobiliers, axé sur le marché de la location résidentielle et des biens immobiliers au sens large. L'entreprise propose des plateformes cloud (SaaS) et des outils basés sur l'IA pour la location, l'expérience des résidents, la gestion des revenus et des finances, la gestion des services publics et de la durabilité, la gestion des fournisseurs et des dépenses, les intégrations des bâtiments intelligents et l'analyse—au service des opérateurs immobiliers multifamiliaux, abordables, étudiants, seniors, de maisons individuelles et commerciaux. Les solutions de RealPage sont conçues pour aider les entreprises de gestion immobilière, les propriétaires, les investisseurs et les fournisseurs à optimiser les opérations, augmenter les revenus et améliorer l'expérience des résidents.

Description

• Support development and maintenance of fraud risk policies, strategies, rules, thresholds, decision logic, treatment paths, and control documentation across onboarding and monitoring workflows. • Help build and optimize controls for payment fraud, onboarding risk, account takeover, business email compromise, counterparty fraud, tenant payment fraud, synthetic identity, first-party misuse, bust-out behavior, stolen payment instruments, and emerging typologies. • Document strategy rationale, rule logic, expected impact, monitoring plans, policy considerations, change history, and recommended follow-up actions. • Use SQL to independently query data, validate hypotheses, identify fraud patterns, assess false positives, and evaluate loss exposure, operational impact, and customer friction. • Partner with Risk Data Science & Analytics to translate dashboards, models, features, risk scores, and analytical insights into practical fraud decision strategies and operational controls. • Partner with Onboarding Risk Operations and Risk Monitoring Operations to incorporate case outcomes, queue trends, investigator feedback, alert quality, and operational pain points into strategy improvements. • Review themes from Trust and Safety escalations to identify control gaps, recurring fraud signals, product or process vulnerabilities, or policy needs requiring durable remediation. • Collaborate with Product, Engineering, Payment Operations, Compliance/AML, Legal, and Operational Excellence on tooling, workflow, data availability, rule implementation, and control monitoring. • Provide concise updates on fraud trends, strategy performance, emerging risks, rule effectiveness, false positive impact, and recommended actions to fraud leadership and cross-functional stakeholders.

🎯 Exigences

• 3-5 years of full-time experience in fraud strategy, fraud analytics, payments risk, data science, financial crime, risk operations strategy, or a related technical risk function • Mandatory SQL experience • Exposure to data science, statistics, experimentation, model evaluation, Python/R, feature development, segmentation, or analytical methods used in fraud or risk decisioning. • Experience working with fraud operations, risk analytics, data science, product, engineering, compliance, or payment operations stakeholders. • Bachelor’s degree in Data Science, Analytics, Statistics, Finance, Economics, Risk Management, Criminal Justice, Computer Science, or related field, or equivalent practical experience.

🏖️ Avantages

• Health insurance • Paid time off • Retirement plans

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