PayPal

Credit Risk Strategy - Data Scientist

PayPal

Chicago, IL, USA
Full-TimeDepends on ExperienceSenior LevelMasters
Job Description

Are you a strategic and analytical thinker with a passion for data and risk management? Do you thrive in a fast-paced, dynamic environment where your ideas can have a direct impact on business decisions? If so, then we have an exciting opportunity for you! At PayPal, we are looking for a highly skilled and experienced Data Scientist to join our Credit Risk Strategy team. As a key member of this team, you will use your expertise in data analysis and risk assessment to help drive strategic initiatives and optimize our credit risk management strategies. In this role, you will have the opportunity to work on cutting-edge technologies and collaborate with cross-functional teams to develop innovative solutions. If you have a strong background in data science, risk assessment, and a desire to work in a collaborative, results-driven environment, then we want to hear from you! Join us in our mission to make online payments safer and more secure for our global customer base.

  1. Conduct data analysis and risk assessment to identify trends, patterns, and potential risks in credit transactions.
  2. Collaborate with cross-functional teams to develop and implement innovative credit risk management strategies.
  3. Utilize cutting-edge technologies and tools to optimize credit risk strategies and processes.
  4. Monitor and track key performance indicators to evaluate the effectiveness of credit risk management strategies.
  5. Communicate insights and recommendations to senior management and stakeholders to drive strategic initiatives.
  6. Stay updated on industry trends and best practices in data science and risk management to continuously improve and innovate our strategies.
  7. Develop and maintain models and algorithms for credit risk assessment and prediction.
  8. Work closely with product and engineering teams to integrate risk management solutions into new and existing products.
  9. Conduct regular risk assessments and provide recommendations for risk mitigation.
  10. Collaborate with compliance and legal teams to ensure adherence to regulatory requirements and guidelines.
  11. Train and mentor junior team members on data analysis, risk assessment, and credit risk management strategies.
  12. Participate in brainstorming sessions and contribute innovative ideas to drive business growth and improve customer experience.
  13. Prioritize and manage multiple projects simultaneously, ensuring timely and accurate deliverables.
  14. Maintain data integrity and security standards to protect sensitive information.
  15. Develop and maintain strong relationships with internal and external stakeholders.
Where is this job?
This job is located at Chicago, IL, USA
Job Qualifications
  • Strong Quantitative And Analytical Skills: A Credit Risk Strategy - Data Scientist At Paypal Should Have A Strong Background In Mathematics, Statistics, And Data Analysis. This Includes A Deep Understanding Of Statistical Modeling Techniques And Programming Languages Such As Sql, R, And Python.

  • Experience In Credit Risk Management: Candidates Should Have Experience Working In The Financial Services Industry, Specifically In Credit Risk Management. This Includes Knowledge Of Credit Risk Models, Credit Underwriting Processes, And Regulatory Requirements.

  • Proficiency In Machine Learning And Data Mining: As A Data Scientist, Proficiency In Machine Learning And Data Mining Techniques Is Essential. This Includes Experience With Supervised And Unsupervised Learning Models, Feature Selection, And Data Preprocessing.

  • Familiarity With Big Data Technologies: Paypal Deals With Large Amounts Of Data, So A Credit Risk Strategy - Data Scientist Should Be Familiar With Big Data Technologies Such As Hadoop, Spark, And Hive. Knowledge Of Cloud Computing Platforms Like Aws Or Google Cloud Is Also Beneficial.

  • Communication And Collaboration Skills: The Role Of A Credit Risk Strategy - Data Scientist Involves Working With Various Teams, Including Risk Management, Finance, And Product Development. Therefore, Strong Communication And Collaboration Skills Are Essential For Effectively Presenting And Discussing Findings And Recommendations.

Required Skills
  • Sql

  • Python

  • statistical analysis

  • Machine Learning

  • Data Visualization

  • Data Mining

  • Predictive modeling

  • Risk assessment

  • Decision Trees

  • Credit Risk Management

  • Fraud detection

  • Credit Scoring

Soft Skills
  • Communication

  • Conflict Resolution

  • Emotional Intelligence

  • Leadership

  • Time management

  • creativity

  • Critical thinking

  • Teamwork

  • Adaptability

  • Problem-Solving

Compensation

According to JobzMall, the average salary range for a Credit Risk Strategy - Data Scientist in Chicago, IL, USA is $88,000 to $150,000 per year. This can vary depending on factors such as the company, years of experience, and specific job responsibilities.

Additional Information
PayPal is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based upon race, religion, color, national origin, sex, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
Required LanguagesEnglish
Job PostedFebruary 4th, 2025
Apply BeforeApril 11th, 2026
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About PayPal

PayPal Holdings, Inc. enables digital and mobile payments on behalf of consumers and merchants worldwide. It provides a simpler and safer way for businesses of all sizes to accept payments from merchant websites, mobile devices and applications, and at offline retail locations through a range of payment solutions. It also facilitates person to person payments through PayPal, Venmo, and Xoom.

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