Director, Risk, Data Science and Analytics - Remote

Description

We are seeking a visionary and hands‑on Risk Data Science and Analytics Leader to architect the next generation of risk intelligence for a dynamic payments platform serving the property management industry. The role will lead development of advanced risk models and AI‑powered systems across fraud, compliance, and credit domains, while driving real‑time adaptive decisioning that balances protection with growth.

The leader will design, build, and maintain predictive models for fraud detection, credit risk assessment, and compliance monitoring, develop enterprise risk scores for tenants and property managers, and create real‑time scoring systems using behavioral analytics, device intelligence, and transaction anomaly detection. They will also establish loss‑forecasting frameworks, conduct A/B testing and policy simulation, and collaborate with product, engineering, and business teams to embed intelligent risk insights throughout the customer journey.

• Design and maintain predictive models for fraud detection, credit risk, and compliance monitoring.
• Develop enterprise risk scores for tenants and property managers using multi‑dimensional data.
• Build real‑time fraud risk scoring systems with behavioral analytics, device intelligence, and anomaly detection.
• Create forecasting frameworks for credit and fraud losses and deliver reports to finance and leadership.
• Lead A/B testing and policy simulation to evaluate risk policies and quantify trade‑offs.
• Develop workforce forecasting models and dashboards to monitor productivity and support budgeting.
• Collaborate with product and engineering to design AI agents that automate underwriting and fraud review using NLP and LLMs.
• Implement dynamic real‑time risk decisioning that integrates internal payment history and external credit and identity data.
• Partner with product, marketing, and revenue teams to embed risk intelligence into customer journeys and lifecycle strategies.

Requirements

Ideal candidates hold an advanced degree in Data Science, Statistics, Economics, Computer Science or a related field and have 10+ years of risk analytics experience, preferably in payments, fintech, or financial services. Required skills include a proven track record of deploying risk models and AI solutions, strong proficiency in Python, SQL, machine learning frameworks, and hands‑on experience with LLMs, NLP, and agentic workflows.

The company is an equal‑opportunity employer committed to an inclusive environment, and the role may require occasional standing, walking, sitting, and lifting of up to 10 pounds while operating a computer and communicating with team members.

• Advanced degree in Data Science, Statistics, Economics, Computer Science, or related field.
• 10+ years of risk analytics experience in payments, fintech, or financial services.
• Proven track record of building and deploying risk models and AI solutions in production.
• Strong proficiency in Python, SQL, and machine learning frameworks.
• Experience with fraud detection, anomaly detection, and behavioral modeling.
• Hands‑on experience with large language models, NLP, and agentic workflows.
• Ability to develop composite risk scores from multi‑dimensional data sources.
• Excellent communication and cross‑functional stakeholder influence skills.

Benefits

RealPage offers a competitive salary ranging from $121,000 to $206,000 per year, a comprehensive benefits package that includes health, dental, and vision insurance, a retirement savings plan with company match, paid time off and holidays, professional development opportunities, and performance‑based bonuses.

• Competitive salary $121k–$206k per year.
• Health, dental, and vision insurance.
• Retirement savings plan with company match.
• Paid time off and holidays.
• Professional development opportunities.
• Performance‑based bonus based on position and individual performance.

Training + Development

Interview process

Visa Sponsorship

Security clearance