Risk Analytics Data Scientist

PayPal has been revolutionizing commerce globally for more than 25 years, and they are seeking a highly motivated and experienced Risk Analytics professional to join their Enterprise Risk Management Organization. This role is responsible for providing risk analytics support to various oversight groups and involves developing data science models, analyzing complex data sets, and collaborating with stakeholders to enhance risk management initiatives.

Responsibilities

• Develop and implement data science models and algorithms
• Analyze and interpret complex data sets
• Ensure data quality and integrity
• Collaborate with stakeholders to understand data requirements
• Optimize data processes for efficiency and performance
• Perform advanced statistical analysis and reporting
• Support Credit & Collection, Fraud, Seller, Merchant acquiring, Treasury oversight with data insights to enable effective challenges
• Provide critical support in ad hoc analysis required for business enablement and risk initiatives
• Conduct model validation and challenger model development to ensure models are robust, and aligned with model usage
• Leverage AI to enhance risk analytics functionality to bring out more data insights
• Contribute to the major uplift of data infrastructure and other requirement per PPEU ECB supervision readiness project
• Oversee and challenge risk analytics practices across various groups within the company, primarily focused on Fraud, Seller and Credit risks, including use of machine learning and advanced analytics to detect and mitigate risks
• Conduct root cause analysis to identify opportunities and gaps in existing strategies and controls
• Perform model validation and/or development across various risk and business domains, ensuring models are conceptually sound, effectively implemented, and compliant with internal policy and standards. Collaborate with business units and model developers to ensure model issues are agreed and remediated in a timely manner
• Develop and analyze multiple reports and dashboards, looking at key risk indicators and relevant business metrics to uncover emerging trends and areas of opportunities
• Partner with financial risk oversight groups in conducting in-depth, thematic reviews of various products and risk functions, providing data insights and expertise around strategy development and analytics

Skills

• 1+ years relevant experience and a Bachelor's degree OR Any equivalent combination of education and experience
• Develop and implement data science models and algorithms
• Analyze and interpret complex data sets
• Ensure data quality and integrity
• Collaborate with stakeholders to understand data requirements
• Optimize data processes for efficiency and performance
• Perform advanced statistical analysis and reporting
• Utilize knowledge of and experience with Python and SQL, big data, and statistical and machine learning models (e.g., logistic regression, time series, random forests, SVMs, XGBoost, CNNs/RNNs)

Benefits

• Flexible work environment
• Employee shares options
• Health and life insurance
• Annual performance bonus (or other incentive compensation, as applicable)
• Equity
• Medical, dental, vision, and other benefits

Company Overview

Company H1B Sponsorship