Data Scientist 1

At PayPal (NASDAQ: PYPL), we believe that every person has the right to participate fully in the global economy. Our mission is to democratize financial services to ensure that everyone, regardless of background or economic standing, has access to affordable, convenient, and secure products and services to take control of their financial lives.

Job Description Summary: What you need to know about the role
- PayPal’s Credit and Operational Risk Strategy (CORS) team is seeking a Data Scientist to support the Model Controls team responsible for managing the end to end approval process of models used across the credit lifecycle in the Global Credit Risk business within PayPal as well as performing ongoing model performance monitoring. The position needs to ensure that the Model Controls function follows the enterprise-wide Model Risk Management (MRM) standards and procedures and external regulatory guidance. These include reviewing statistical model constructs, guiding model developers and model owners in preparing model documentation per the MRM standards, ensuring that the models are approved by all Second Line oversight teams and conduct regular monitoring of model performance. Meet our team PayPal’s Credit and Operational Risk Strategy (CORS) supports the greater Credit organization and is responsible for the management of the Risk Lifecycle activities, ensuring that the Credit organization’s risk is well managed and well controlled. The Controls organization implements control programs throughout the credit lifecycle such as Model Governance, Policy Governance, Issues Management, Testing & Monitoring and Reporting & Automation across all credit products.

**Job Description**:
**Your way to impact**
- You will be part of the Controls organization that is key to manage CORS’ model governance and monitoring process accurately and adequately as part of the larger PayPal risk management process.
- You will be the critical resource who will be facilitating and helping in reviewing statistical model constructs, guiding model developers and model owners in preparing analyses and model documentation, ensuring that the models are approved by all Second Line oversight teams to make sure all the policy are adhered to and also conduct ongoing monitoring of models to evaluate model performance on a frequent basis.

**Your day to day**

In your day to day role you will:

- Independently manage the new model governance and monitoring process for all models spanning across the credit lifecycle used in Credit and Fraud Risk, Collections business as-well as CECL/IFRS-9 regulatory models.
- Interface with all levels of management to present model approval status including model developers, model owners / users, partner banks, model oversight teams as well as other stakeholders in various forums.
- Ability to negotiate to reach appropriate resolutions in varied situations without damaging internal or external partner relationships especially when any bottlenecks are encountered in model reviews.
- Perform ongoing performance monitoring set up for credit models and understand the different statistical metrics and generate reports to be disseminated across the organization.
- Conduct deep dives into performance monitoring results especially if any threshold breaches are observed.
- Identify opportunities and lead efforts for automation of processes across the Controls organization.

**What do you need to bring-**
- Bachelor / master’s degree in quantitative area strongly preferred - including mathematics, statistics, engineering, computer science, economics or finance
- 4+ years’ experience in model development or model validation / model risk management in consumer and/or business financing credit risk, good to have regulatory model experience.
- Strong verbal and written communication skills along with stakeholder management with the ability to clearly articulate questions, provide senior management with relevant information and respond to any questions they may have.
- Manage dialogue across multiple business units, functions, geographies, bank partners and second line teams.
- Proficient in Python, SQL and have good understanding of statistical techniques used for model development including numerous Machine Learning algorithms.
- Excellent written and oral communication skills as well as stakeholder management skills.
- Team worker, responsible, delivery oriented.

Our Benefits:
At PayPal, we’re committed to building an equitable and inclusive global economy. And we can’t do this without our most important asset—you. That’s why we offer benefits to help you thrive in every stage of life. We champion your financial, physical, and mental health by offering valuable benefits and resources to help you care for the whole you.

Who We Are:
As part of PayPal’s commitment to employees’ health and safety, we have established in-office Covid-19 protocols and requirements, based on expert guidance. Depending o