Data Analyst 2

The Company

PayPal 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 Description Summary:

Job Description:

Bill Me Later, Inc., a wholly owned subsidiary of PayPal, Inc., seeks Data Analyst 2 in Chicago, IL

Job Duties: Apply advanced statistical techniques and algorithms on complex datasets to build statistical or financial models for prediction of risk and revenue and driving actionable business insights for Bill Me Later, Inc. (BML) product or customer level credit risk management. Mine data covering a wide range of information from user profile to transaction details to solve risk problems that involve classification, clustering, pattern analysis, sampling, simulations. Leverage data to support BML’s Cobrand Card business program and insights via monitoring, and reporting leveraging scalable and flexible platforms. Conduct a 360-credit risk framework that covers risk lifecycle metrics and customer experience and engagement metrics for decisioning and drive cross team collaboration. Conduct on-going performance overview to senior leadership team. Carry out independent research and innovation in new content, ML and technological domains. Trouble shoot any data, system, and flow challenges while maintaining flawless strategy execution. Partial telecommuting permitted from within a commutable distance.

Minimum Requirements: Master’s degree, or foreign equivalent in Computer Science, Statistics, Mathematics or a related field plus one year of experience in the job offered or a related occupation.

Special Skill Requirements:

1.              Machine learning (model development/deployment; optimization including parameter tuning, dimension reduction, feature selection, and model validation)

2.              Predictive analytics and segmentation (classification models, regression models, and statistical analysis)

3.              Experimental design (A/B testing)

4.              Profit & Loss (P&L) analytics

5.              Credit risk management / credit risk analytics

6.              Credit bureau analytics

7.              Python (pandas, numpy, and sklearn packages)

8.              SQL tools: Google Big Query and Teradata

9.              Data visualization (Tableau, Amplitutde, and Q-monitor)

10.           Database management,: Big data and cloud (Hadoop, Hive, Stampy, Teradata, and Google Big Query)

EOE, including disability/vets.

Must be legally authorized to work in the U.S. without sponsorship.