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PayPalposted 2 months ago
$72,700 - $176,000/Yr
Full-time
Chicago, IL
Resume Match Score

About the position

The Global Fraud Prevention team is looking for a Data Scientist to join us as an exceptional problem solver with a passion for data insights and a relentless execution focus. You will lead the design and execution of safer experiences for our users and will work on the complex task of keeping fraudsters away from PayPal Credit products. If you’re looking to make an impact at the red-hot intersection of ePayments, lending and online risk management, you’re at the right place. This role is part of the Fraud Prevention team for Global Merchant Lending products that is responsible for preventing & mitigating fraud risk for merchant lending products. This is an exciting, fast paced organization where the contribution by team members can significantly impact PayPal’s bottom line as well as our customers’ experience.

Responsibilities

  • Own & execute fraud prevention strategies for our global merchant lending products.
  • Utilize large, complex datasets to make data-driven decisions and answer business questions.
  • Conceive, design, and monitor risk management strategies to manage fraud losses and improve business profitability for credit products.
  • Identify opportunities and gaps within current portfolio of PayPal’s Fraud Risk controls, including continuously evolving fraud trends.
  • Formulate & propose solutions to ensure optimal balance between user experience, business enablement, operational expense and loss exposure.
  • Effectively communicate complex findings and strategy recommendations to both technical and non-technical audience.
  • Monitor performance of existing & new solutions and optimize to ensure desired results.
  • Work closely with partners in Risk Platform, Data Science, Operations, Product Management, Legal & Compliance and other teams to formulate and execute fraud risk solutions.

Requirements

  • Bachelor’s degree or higher in Mathematics, Statistics, Operations Research, Finance, Economics or related quantitative discipline.
  • 3+ years proven credit or fraud risk analytics experience or equivalent.
  • Must be an intuitive, organized analytical thinker, exceptional problem solver with the ability to perform detailed analysis.
  • Strong written, oral, and interpersonal skills a must including the ability to explain and/or present analysis.
  • Aptitude and willingness to roll-up the sleeves and get involved in the details.
  • Must have good business judgment with demonstrated ability to think creatively and strategically.
  • Ability to work with leadership & stakeholders to define project scope and direction, driving large pieces of the work independently.
  • Ability to maintain a flexible work schedule to collaborate effectively with teams across multiple time zones.
  • Proficient in Python, R, SQL.
  • Proficient in Excel, Powerpoint & Word.

Benefits

  • Flexible work environment.
  • Employee shares options.
  • Health and life insurance.
  • Annual performance bonus (or other incentive compensation, as applicable).
  • Equity.
  • Medical, dental, vision, and other benefits.

Job Keywords

Hard Skills
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  • R
  • SQL
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Soft Skills
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