Fraud Data Analyst

🔥 0 minutes ago

🤠 Texas – Remote

🤠 Texas – Remote

💵 $77.7k - $132.3k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

📉 Data Analyst

👻 Ghost score 0%

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RealPage, Inc.

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

💼 Consulting

📦 Logistics

📣 Marketing

💰 $18.6M Post-IPO Equity - RealPage on 2022-01

Consulting • Logistics • Marketing

RealPage, Inc. is a provider of property management software and services focused on the rental housing and broader real estate markets. The company offers cloud-based (SaaS) platforms and AI-driven tools for leasing, resident experience, revenue and financial management, utility and sustainability, vendor and spend management, smart building integrations, and analytics—serving multifamily, affordable, student, senior, single-family and commercial property operators. RealPage’s solutions are designed for property management companies, owners, investors and vendors to streamline operations, increase revenue, and improve the resident experience.

📋 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 query data, validate hypotheses, identify fraud patterns, assess false positives, and evaluate loss exposure, operational impact, and customer friction • Apply analytical and data science methods to support feature exploration, segmentation, model output evaluation, threshold setting, experimentation, champion/challenger comparisons, and performance monitoring • 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 Trust and Safety escalation themes 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

🎯 Requirements

• 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, with the ability to independently query data, validate hypotheses, assess rule or control performance, and support fraud strategy development • 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 • Strong analytical curiosity and ability to connect fraud signals across disconnected tools, imperfect data, and evolving processes • Ability to translate data findings into clear fraud strategy recommendations, rule changes, control improvements, and policy considerations • Working knowledge of fraud typologies such as synthetic identity, first-party misuse, counterparty fraud, business email compromise, onboarding fraud, stolen payment instruments, tenant payment fraud, account takeover, or bust-out behavior • Ability to evaluate fraud strategies using loss exposure, fraud capture, precision, false positives, customer friction, queue impact, and post-launch performance metrics • Strong written and verbal communication skills • High ownership, sound judgment, attention to detail, and ability to balance fraud mitigation with customer experience, operational capacity, compliance considerations, and business growth • Preferred experience with property management, rent payments, real estate technology, B2B payments, vendor payments, bill pay, embedded payments, merchant acquiring, fraud platforms, payment processor portals, device/identity signals, or decisioning platforms such as Oscilar