Senior Fraud Strategist

🔥 12 hours ago

🤠 Texas – Remote

🤠 Texas – Remote

💵 $94.7k - $161.3k / year

⏰ Full Time

🟠 Senior

👻 Ghost score 0%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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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

• Develop, maintain, and optimize fraud risk policies, strategies, rules, thresholds, decision logic, treatment paths, and control documentation across onboarding and monitoring workflows • Develop recommendations for auto-approval criteria, manual-review routing, payment holds, restrictions, limit treatments, step-up verification, account monitoring, and escalation thresholds • Document strategy rationale, rule logic, data sources, expected impact, monitoring plans, policy considerations, change history, and follow-up actions • Design 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, refund or dispute abuse, and emerging typologies • Monitor launched strategies and recommend ongoing tuning • Source, query, and analyze data using SQL to validate hypotheses, identify fraud patterns, assess false positives and false negatives, and evaluate loss exposure, operational impact, and customer friction • Apply analytical and data science methods for feature exploration, cohort analysis, segmentation, model output evaluation, threshold setting, experimentation, champion/challenger comparisons, back-testing, and post-launch monitoring • Partner with Risk Data Science & Analytics to translate dashboards, models, features, risk scores, and insights into 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 escalations to identify control gaps, recurring fraud signals, product or process vulnerabilities, and policy needs • Collaborate with Product, Engineering, Payment Operations, Compliance/AML, Legal, and Operational Excellence on tooling, workflows, data availability, rule implementation, and control monitoring • Provide updates on fraud trends, strategy performance, emerging risks, rule effectiveness, false-positive impact, and recommended actions to fraud leadership and stakeholders • Share fraud findings and trends with fraud operations, monitoring, and escalation teams to inform policy, rule, threshold, and monitoring improvements

🎯 Requirements

• Bachelor’s degree in Data Science, Analytics, Statistics, Finance, Economics, Risk Management, Criminal Justice, Computer Science, or related field, or equivalent practical experience • 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 • Advanced, hands-on SQL experience is mandatory • Ability to independently write, troubleshoot, and explain SQL queries using multi-table joins, aggregations, date windows, common table expressions, window functions, and segmentation logic • Experience developing or optimizing fraud rules, thresholds, decision logic, treatment paths, controls, or monitoring strategies based on independently sourced and analyzed data • 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 • Ability to connect fraud signals across disconnected tools, imperfect data, evolving processes, and multiple product or payment workflows • Ability to translate data findings into fraud strategy recommendations, rule changes, threshold adjustments, control improvements, monitoring plans, and policy considerations • Strong working knowledge of fraud typologies including synthetic identity, first-party misuse, counterparty fraud, business email compromise, onboarding fraud, stolen payment instruments, tenant payment fraud, account takeover, refund or dispute abuse, and 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

🏖️ Benefits

• Health, dental, and vision insurance • Retirement savings plan with company match • Paid time off and holidays • Professional development opportunities • Performance-based bonus • Potential annual bonus and sales incentives, depending on plan, role, and individual performance