Senior Fraud Strategist

Overview

The Senior Fraud Strategist is responsible for developing, testing, and optimizing fraud strategies, policies, rules, thresholds, treatment paths, and decision logic within assigned onboarding and monitoring workflows in RealPage’s payments ecosystem. This role will focus on development of policies and rules across new account onboarding, tenant payments, vendor payments, owner draws, funding instrument verifications, limit management, transaction monitoring, and payer anomalies. The successful candidate will take part in building RealPage’s next generation of fraud controls. This is a hands-on strategy role for someone who can independently identify the right data, write and troubleshoot SQL, connect fraud signals across systems, and translate analysis into practical decisions. They will test hypotheses, quantify fraud exposure and customer impact, evaluate strategy performance, and recommend policies, rules, thresholds, and controls that reduce fraud while protecting the customer experience and enabling business growth.
Responsibilities
Fraud Strategy, Policy & Controls

- Responsible for the development, maintenance, and optimization of fraud risk policies, strategies, rules, thresholds, decision logic, treatment paths, and control documentation across onboarding and monitoring workflows.

- Develop data-backed 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 recommended 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 tuning on an ongoing basis.

Analytics, Data Science & Rule Performance

- Independently 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.

- Write and troubleshoot SQL queries using multi-table joins, aggregations, date windows, common table expressions, window functions, and segmentation logic to investigate fraud patterns and measure strategy performance.

- Apply analytical and data science methods to support feature exploration, cohort analysis, segmentation, model output evaluation, threshold setting, experimentation, champion/challenger comparisons, back-testing, and post-launch 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; assess and provide feedback on whether those outputs are effective for fraud strategy use cases, with guidance on complex cases.

Operational Feedback & Cross-Functional Execution

- 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.

- Share fraud find