Data Analyst

At PayPal (NASDAQ: PYPL), we believe that every person has the right to participate fully in the global economy. Our mission is to revolutionize commerce globally to make moving money, selling and shopping, personalized and secure. 

Job Description Summary:

What you need to know about the role-
• This position is part of the Global Commercial Lending Credit Risk team and will be responsible for performing data analytics using machine learning tools to identify opportunities and build strategies to mitigate risk associated with commercial lending portfolio
• This positions will play a crucial role in developing and refining credit risk management strategies utilizing bank statement data. This position will be responsible for analyzing large datasets identifying trends and providing insights to inform decision making processes aimed at mitigating credit risk exposure for the organization.
Meet our team
• This position will directly impact the Global Merchant Lending business by delivering a new set of capabilities that will enable overall growth of the commercial lending portfolios, while effectively managing credit risk.
• This position will report to Manager, Global Commercial Lending
• The GML Credit Risk team directly supports the GML Business Unit and other relevant key stakeholders across PayPal's Consumer, Merchant, Credit, and Payments Business Units.

Job Description:

Your way to impact

• You believe in data-driven decisions and use data to create risk management strategies and answer business questions 

• You are hyper-analytical, intellectually honest, and extremely passionate about data and testing (e.g., A/B experimentation) 

• You are a highly motivated, result-oriented, enjoy working in a fast-paced environment, and can deliver successful results with required guidance   

Your day to day

• Data Collection and Preparation: Gathering organized bank statement data from various sources. Cleanse and preprocess the data to ensure accuracy and consistency. Perform data validation and quality checks to identify and resolve anomalies

• Conduct exploratory data analysis to identify pattern and correlation within the bank statement data.

• Utilize statistical methods and machine learning techniques to develop risk management strategies using bank statement data.

• Identify and source relevant bank statement data sources including transaction details, account balances and transaction histories

• Collaborate with technology teams to establish data pipelines for seamless integration and extraction of bank statement data

• Collaborate with credit risk management teams to refine credit policies and underwriting criteria based on data-driven insights

• Monitor the effectiveness of credit policy changes and iterate on strategies to achieve desired outcomes

What do you need to bring-

• A bachelor's or master's degree in business, finance, economics, or a related field.

• Prior experience in credit risk management, or a related field.

• Bachelor’s degree or higher in a quantitative field such as Mathematics, Statistics, Operations Research, Finance, Economics or related quantitative discipline.

• 3+ years post-college working experience within the data-mining, quantitative research or analytics organization. Credit Risk experience is a must.

• Must be an intuitive, organized analytical thinker, with the ability to perform detailed analysis.

• Strong written, oral, and interpersonal skills a must including the ability to explain and/or present analysis.

• Must have good business judgment with demonstrated ability to think creatively and strategically.

• Aptitude and willingness to roll-up the sleeves and get involved in the details.

• Proficiency in Python, R and SQL.

• Excel, Word, and PowerPoint proficiency

• Must have good business judgment with demonstrated ability to think creatively and strategically.

• Aptitude and willingness to roll-up the sleeves and get involved in the details.

Try to limit the list of requirements to “must-haves” that are essential to the core functions of the role.

**We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please don't hesitate to apply.

Additional Job Description:

Subsidiary:

PayPal

Travel Percent:

0

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.
We have great benefits including a flexible work environment, employee shares options, health and life insurance and more. To learn more about our benefits please visit

Who We Are:

to learn more about our culture and community.

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. For more information, visit  ,   and  .

PayPal provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, PayPal will provide reasonable accommodations for qualified individuals with disabilities. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at .

Any general requests for consideration of your skills, please

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