Data Scientist, Model Risk Management

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:

To perform validation on high-impact statistical models and AI applications in various business functional areas, focusing on but not limited to transaction and credit loss forecast, treasury and prudential risk models

Job Description:

Role and Responsibilities

• Support the lead in providing oversight of high-impact statistical models and AI applications in various business functional areas, focusing on but not limited to transaction and credit loss forecast, treasury and prudential risk models

• Conduct quantitative and qualitative model validation in line with internal Model Risk Management Policy and industry standard to identify and report issues arising from model data, model design and model use, provide subject-matter expert opinion on model enhancement

• Collaborate with business units and model developers to ensure model issues are agreed and remediated timely

Qualifications
This position requires the curiosity and ability to learn various advanced modeling techniques, covering a broader business function. This role also requires candidate to have the capability in building effective relationship with stakeholders from various teams such as data science, business, finance, accounting, treasury, audit.

• An advanced degree in a quantitative field, such as statistics, econometrics, finance, mathematics, computer science, data science

• Basic accounting, finance, prudential risk knowledge

• Advanced Python and SQL coding skills in dealing with big data

• Advanced knowledge of statistical and machine learning models (e.g., logistic regression, time series, random forests, SVMs,

  XGBoost, CNNs/RNNs)

• Relevant modeling experience in credit scoring, loss forecasting, stress testing, treasury, obtained either in academic or

  financial industry

• Solid understanding of macroeconomics in relation to the models

• Ability to work effectively both independently and in a team environment and deliver timely

• Ability to communicate and present effectively to both technical and non-technical stakeholders at various levels

• Ability to maintain technical documentation of AI/ML model development and validation

Additional Job Description:

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