Data Scientist at PayPal

Short Description:

The Data Scientist role at PayPal in Bangalore involves supporting the Model Controls team within the Credit and Operational Risk Strategy (CORS) to manage model governance and performance monitoring. The position requires independent management of the approval process for credit lifecycle models, interfacing with stakeholders, and resolving issues during model reviews. The candidate should have a background in quantitative fields, 4+ years of relevant experience, and proficiency in Python, SQL, and statistical techniques. The role emphasizes effective communication, stakeholder management, and a proactive approach to identifying opportunities for process automation. PayPal promotes an inclusive work environment and offers benefits to support employees' overall well-being.

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Position: Data Scientist

Location: Bangalore, Karnataka, India

Time Type: Full-time

Job ID: R0105497

Introduction:

At PayPal (NASDAQ: PYPL), we are dedicated to fostering an inclusive global economy where everyone, regardless of their background or economic status, can actively participate. Our mission is to democratize financial services, ensuring affordable, convenient, and secure products and services are accessible for individuals to take control of their financial lives.

Job Description Summary:

Role Overview:

The Data Scientist will join PayPal's Credit and Operational Risk Strategy (CORS) team, specifically supporting the Model Controls team. This team is responsible for overseeing the end-to-end approval process of models used throughout the credit lifecycle within the Global Credit Risk business at PayPal. The role involves ensuring compliance with enterprise-wide Model Risk Management (MRM) standards, external regulatory guidance, and continuous monitoring of model performance.

Team Overview:

PayPal's CORS team manages risk lifecycle activities, ensuring effective risk management and control within the Credit organization. The Controls organization implements various control programs across the credit lifecycle, including Model Governance, Policy Governance, Issues Management, Testing & Monitoring, and Reporting & Automation.

Key Responsibilities:

Day-to-Day Impact:

• Independently manage the new model governance and monitoring process for credit lifecycle models.
• Interface with various stakeholders, including model developers, model owners, partner banks, and oversight teams, to present model approval status.
• Negotiate and resolve issues encountered during model reviews without damaging internal or external relationships.
• Conduct ongoing performance monitoring for credit models, utilizing statistical metrics and generating reports for dissemination.
• Perform deep dives into performance monitoring results, particularly in cases of threshold breaches.
• Identify and lead efforts for process automation within the Controls organization.

Qualifications:

What You Bring:

• Bachelor's/Master's degree in a quantitative field (mathematics, statistics, engineering, computer science, economics, or finance).
• 4+ years of experience in model development, model validation, or model risk management in consumer and/or business financing credit risk; regulatory model experience is a plus.
• Strong verbal and written communication skills, along with stakeholder management abilities.
• Proficiency in Python, SQL, and understanding of statistical techniques used in model development, including various Machine Learning algorithms.
• Team player, responsible, and delivery-oriented.

About PayPal:PayPal has been at the forefront of the digital payment revolution for over two decades. With a focus on leveraging technology to make financial services and commerce more convenient, affordable, and secure, PayPal empowers over 400 million consumers and merchants in more than 200 markets to join and thrive in the global economy.

Health and Safety Protocols: As part of PayPal's commitment to employees' health and safety, Covid-19 protocols and requirements have been established in-office, based on expert guidance. Depending on location, this may include a Covid-19 vaccination requirement for employees working onsite. Reasonable accommodations can be requested based on medical conditions or religious beliefs preventing vaccination.

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