Director, Risk, Data Science and Analytics

Overview

Lead development of risk models & AI-driven real-time decisioning for payments platform.

Key Responsibilities

• intelligent agents
• predictive modeling
• risk scoring
• real-time scoring
• data integration
• dashboards

Tasks

-Build intelligent agents capable of triaging fraud alerts, escalating high-risk cases, and learning from feedback loops. -Develop robust forecasting frameworks for credit and fraud losses. -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: -Leverage natural language processing (NLP), large language models (LLMs), and decision intelligence to streamline document analysis, customer evaluation, and exception handling. -Support workforce planning and budget allocation with data-driven insights. -Develop and maintain enterprise risk scores for tenants and property managers, integrating multi-dimensional signals from compliance, fraud, and credit risk profiles. -Design, build, and maintain predictive models for fraud detection, credit risk assessment, and compliance monitoring. -Develop dashboards and reporting tools to track team productivity and efficiency. -Build models to forecast operational headcount needs based on transaction volumes, risk profiles, and policy changes. -Monitor portfolio performance and identify emerging risk trends, including fraud typologies and attack vectors. -Partner with policy and product teams to iterate on risk rules, thresholds, and fraud mitigation strategies. -Collaborate with product, marketing, and revenue teams to embed risk intelligence into customer journeys and lifecycle strategies. -Collaborate with strategic partners, product, and engineering teams to design and implement AI agents to automate manual underwriting and fraud review workflows. -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. -Deliver accurate and timely reporting to finance, operations, and executive leadership. -Build real-time fraud risk scoring systems using behavioral analytics, device intelligence, identity verification, and transaction anomaly detection. -Partner with product and engineering to develop dynamic, real-time risk decisioning systems that adapt to user behavior, transaction context, and external signals.

Requirements

• python
• sql
• llms
• fraud detection
• 10+ years
• advanced degree

What You Bring

-Experience developing composite risk scores using multi-dimensional data sources. -10+ years of experience in risk analytics, preferably in payments, fintech, or financial services. -Payments acceleration for low-risk users -Experience with fraud detection systems, anomaly detection, and behavioral modeling. -Excellent communication skills and ability to influence cross-functional stakeholders. -Strong business acumen and ability to translate risk insights into growth strategies. -Hands-on experience with LLMs, NLP, and agentic workflows for operational automation. -Proven track record of building and deploying risk models and AI solutions in production. -Strong proficiency in Python, SQL, and machine learning frameworks. -Advanced degree in Data Science, Statistics, Economics, Computer Science, or a related field.

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Benefits

-Health, dental, and vision insurance. -Dynamic transaction and velocity limits based on real-time risk posture -Retirement savings plan with company match. -Performance-based bonus based on position. -Professional development opportunities. -Paid time off and holidays.

About Realpage, Inc.

-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.

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