Risk Analytics Data Scientist

Job Description

The CompanyPayPal has been revolutionizing commerce globally for more than 25 years. Creating innovative experiences that make moving money, selling, and shopping simple, personalized, and secure, PayPal empowers consumers and businesses in approximately 200 markets to join and thrive in the global economy. We operate a global, two-sided network at scale that connects hundreds of millions of merchants and consumers.

We help merchants and consumers connect, transact, and complete payments, whether they are online or in person. PayPal is more than a connection to third-party payment networks. We provide proprietary payment solutions accepted by merchants that enable the completion of payments on our platform on behalf of our customers. We offer our customers the flexibility to use their accounts to purchase and receive payments for goods and services, as well as the ability to transfer and withdraw funds.

We enable consumers to exchange funds more safely with merchants using a variety of funding sources, which may include a bank account, a PayPal or Venmo account balance, PayPal and Venmo branded credit products, a credit card, a debit card, certain cryptocurrencies, or other stored value products such as gift cards, and eligible credit card rewards. Our PayPal, Venmo, and Xoom products also make it safer and simpler for friends and family to transfer funds to each other.

We offer merchants an end-to-end payments solution that provides authorization and settlement capabilities, as well as instant access to funds and payouts. We also help merchants connect with their customers, process exchanges and returns, and manage risk. We enable consumers to engage in cross-border shopping and merchants to extend their global reach while reducing the complexity and friction involved in enabling cross-border trade.

Our beliefs are the foundation for how we conduct business every day. We live each day guided by our core values of Inclusion, Innovation, Collaboration, and Wellness. Together, our values ensure that we work together as one global team with our customers at the center of everything we do – and they push us to ensure we take care of ourselves, each other, and our communities.

Job Summary:We are seeking a highly motivated and experienced Risk Analytics professional to join our Enterprise Risk Management Organization. This role is responsible for providing risk analytics support to Financial and Model Risk oversight groups, including but not limited to Credit, Collection, Fraud, Seller, Acquiring, Treasury oversight.

This role connects the dots between business, model, and data by providing insights through in-depth data analysis. This role also provides critical support in ad hoc analysis required for business enablement and new risk initiatives to support PP’s growth. Job Description:Essential 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. Expected Qualifications:1+ years relevant experience and a Bachelor’s degree OR Any equivalent combination of education and experience.

Additional Responsibilities & Preferred Qualifications:This role is part of the broader AI/Model/Quant Risk Oversight function. The AI/Model/Quant Risk Oversight team:• Oversees and proactively challenges our model use and AI application. • Supports effective model development/deployment and responsible AI innovation• Ensure model/AI practice meets regulatory compliance requirement, strengthening decision-making, protecting customers and safeguarding the company from financial and reputational damage• Partners 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 risk mitigationsYou will make an impact by ensuring that;· 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 projectIn your day-to-day role you will;· 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.

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