PayPal Data Scientist Model Risk Management 

United States, Texas, Austin 

506322602

As Data Scientist, Model Risk Management, you’ll have a key role to ensure that AI applications and models used across the company are conceptually sound, accurate, robust, and properly monitored. • Model Risk Management team oversees and proactively challenges our AI and model risk management, ensuring regulatory compliance, strengthening decision-making, and safeguarding the company from financial and reputational damage.

Job Description:

You will make an impact by:

• Protecting PayPal’s financial health and reputation by ensuring models are accurate and reliable under most scenarios.
• Ensuring PayPal's models comply with regulatory requirements.
• Exploring and creating cutting-edge agentic AI technologies to automate processes and drive efficiency.

• Provide support to the team lead in managing oversight of high-impact AI applications and models deployed across diverse business areas, such as fraud detection, credit underwriting, and marketing.
• Perform quantitative and qualitative model validation in accordance with the Model Risk Management Policy to evaluate and mitigate model risk concerns.
• Collaborate with business units and model developers to remediate model issues and provide subject-matter expert opinion on model improvements.
• Perform model and AI risk governance related activities in line with enterprise risk framework, to ensure PayPal’s AI applications are compliant with ever evolving regulatory expectation.
• Research the agentic AI field to help PayPal improve its risk detection and mitigation processes.

You will bring:

• An advanced degree in a quantitative field, such as statistics, mathematics, computer science or engineering, is required.
• Advanced knowledge of statistical and machine learning models (e.g., logistic regression, time series analysis, random forests, SVMs,XGBoost, CNNs/RNNs,LLM).
• Strong proficiency in programming and big data technologies, including Scikit-learn (Python), TensorFlow, Hadoop, Spark, SQL, and similar frameworks.
• Relevant Modeling experience in credit scoring, fraud detection, financial forecasting, or marketing analytics obtained either in academic or financial industry is preferred.
• Demonstrated ability to excel in both independent tasks and collaborative team settings.
• Effective communication skills for fostering positive relationships with stakeholders.

Our Benefits:

Any general requests for consideration of your skills, please