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Director, Risk, Data Science and Analytics
Realpage, Inc.
Provides property management software and data analytics solutions for real estate professionals.
Lead the development of advanced risk models and AI-powered systems for fraud, compliance, and credit domains in a dynamic payments platform.
Build models to forecast operational headcount needs based on transaction volumes, risk profiles, and policy changes.
Collaborate with product, marketing, and revenue teams to embed risk intelligence into customer journeys and lifecycle strategies.
Integrate internal data (e.g., payment history, behavioral patterns) and external data (e.g., credit bureaus, identity verification, device intelligence) to power customized offerings such as:
Design, build, and maintain predictive models for fraud detection, credit risk assessment, and compliance monitoring.
Partner with policy and product teams to iterate on risk rules, thresholds, and fraud mitigation strategies.
Build real-time fraud risk scoring systems using behavioral analytics, device intelligence, identity verification, and transaction anomaly detection.
Leverage natural language processing (NLP), large language models (LLMs), and decision intelligence to streamline document analysis, customer evaluation, and exception handling.
Collaborate with strategic partners, product, and engineering teams to design and implement AI agents to automate manual underwriting and fraud review workflows.
Support workforce planning and budget allocation with data-driven insights.
Develop robust forecasting frameworks for credit and fraud losses.
Monitor portfolio performance and identify emerging risk trends, including fraud typologies and attack vectors.
Develop and maintain enterprise risk scores for tenants and property managers, integrating multi-dimensional signals from compliance, fraud, and credit risk profiles.
Quantify trade-offs between fraud prevention, credit exposure, and customer experience.
Lead A/B testing and simulation efforts to evaluate new risk policies and operational strategies.
Build intelligent agents capable of triaging fraud alerts, escalating high-risk cases, and learning from feedback loops.
Develop dashboards and reporting tools to track team productivity and efficiency.
Partner with product and engineering to develop dynamic, real-time risk decisioning systems that adapt to user behavior, transaction context, and external signals.
Deliver accurate and timely reporting to finance, operations, and executive leadership.
What you bring
payments acceleration
risk analytics
ai solutions
fraud detection
llms
business acumen
Payments acceleration for low-risk users
10+ years of experience in risk analytics, preferably in payments, fintech, or financial services.
Proven track record of building and deploying risk models and AI solutions in production.
Experience with fraud detection systems, anomaly detection, and behavioral modeling.
Hands-on experience with LLMs, NLP, and agentic workflows for operational automation.
Strong business acumen and ability to translate risk insights into growth strategies.
Experience developing composite risk scores using multi-dimensional data sources.
Strong proficiency in Python, SQL, and machine learning frameworks.
Excellent communication skills and ability to influence cross-functional stakeholders.
Advanced degree in Data Science, Statistics, Economics, Computer Science, or a related field.
Benefits
Health, dental, and vision insurance.
Professional development opportunities.
Retirement savings plan with company match.
Performance-based bonus based on position.
Dynamic transaction and velocity limits based on real-time risk posture
Paid time off and holidays.
Training + Development
Information not given or found
Interview process
Information not given or found
Visa Sponsorship
Information not given or found
Security clearance
credit and criminal background checks required for risk management purposes.
Cloud-based platform used worldwide to improve property management efficiency.
Delivers innovative technology solutions to revolutionize the real estate industry.
Provides software for property management, leasing, accounting, and financial reporting across multifamily, single-family, and commercial real estate sectors.
Empowers property owners and managers with cutting-edge tools for efficiency.
Specialized data analytics solutions optimize operational performance, reduce costs, and enhance tenant experience.
Focus on driving efficiency through automation with an expanding suite of solutions.
Offers solutions in areas like energy management, marketing, and resident services.
Trusted by some of the largest real estate companies in the world for seamless property operations at scale.
Culture + Values
Customer-Centric Innovation
Integrity
Accountability
Collaboration
Passion for Excellence
Results-Oriented
Environment + Sustainability
By 2035
Net Zero Target Achievement
Committed to achieving net zero carbon emissions, demonstrating a significant commitment to environmental sustainability.
Committed to reducing environmental impact through innovative solutions.
Provides sustainability-focused tools to enhance energy efficiency and minimize waste.
Smart Building solutions reduce energy consumption and lower carbon footprint in various properties.
Pursues green initiatives and renewable energy to decrease operational carbon footprint.
Inclusion & Diversity
Committed to fostering an inclusive and diverse workplace culture.
Set clear diversity hiring goals aiming for balanced gender representation and diverse leadership roles.
Promotes employee resource groups for various communities.
Initiatives to increase underrepresented groups in leadership and technical roles.
Tracks diversity progress through regular reporting and holds leadership accountable for DEI goals.
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