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Data Scientist 2 @ PayPal

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 Data Scientist 2

Job Description

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. We re a purpose-driven company, and our beliefs are the foundation of how we conduct business every day. We re guided by our core values of Inclusion, Innovation, Collaboration, and Wellness. Collectively, these values inspire us to work together as One Team with our customers at the center of everything we do, and to take care of ourselves, each other, and the communities in which we live and work. We challenge the status quo, ask questions, and find solutions. Join us as we enable the hopes, dreams, and ambitions of millions of people around the world.
The PayPal Credit Risk Organization is responsible for managing the risk throughout the lifecycle of PayPal s Credit 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. We re looking for an Data Science professional to join the team and help in our efforts to manage PayPal Credit risk globally. 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, consumer lending and online risk management, you re at the right place. This role is with the Fraud Strategy and Analytics team in the Global Pay Later team. This team is part of PayPal s Risk organization and is responsible for mitigating fraud on PayPal s global installment products

Fraud Strategy & Analytics team is responsible for mitigating fraud on PayPal s installments and revolving products globally.

Primary responsibilities:

  • Conceive, design, and monitor fraud risk management strategies to manage fraud losses and improve business profitability for consumer lending products
  • Identify opportunities and gaps within the 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
  • Communicate concise and actionable business strategies and present new strategy recommendations to senior management for approval
  • Monitor performance of existing & new solutions and optimize to ensure desired results
  • Work closely with partners in Risk Platform, Data Sciences, Operations, Product Management, Legal & Compliance and other teams to formulate and execute fraud risk solutions
  • Collaborate with external partners, including external credit/banking partners and data vendors

Education, Experience & Required Skills:

  • Bachelor s degree in Mathematics, Statistics, Operations Research, Finance, Economics or related quantitative discipline
  • 6-8 years proven fraud risk analytics experience or equivalent
  • Must be an intuitive, organized analytical thinker, with the ability to perform detailed analysis
  • Proficiency in SQL and Excel. Proficiency in at least one statistical analysis tool: SAS / R / Python
  • Strong written, oral, and interpersonal skills a must including the ability to explain and/or present analysis
  • Ability to contribute to strategic discussions and represent Risk in cross-functional meetings
  • Ability to manage a large, diverse set of to-do s prioritize, stay on top of multiple workstreams, monitor progress
  • Ability to work with leadership & stakeholders to define project scope and direction, driving large pieces of the work independently
  • Ability to manage and mentor junior team members
  • Experience working with cross-functional, geographically distributed teams, managing by influence is a plus.

For more than 20 years, PayPal has remained at the forefront of the digital payment revolution. By leveraging technology to make financial services and commerce more convenient, affordable, and secure, our open digital payments platform gives PayPal s 400 million active account holders the confidence to connect and transact in new and powerful ways. Through a combination of technological innovation and strategic partnerships, PayPal creates better ways to manage and move money, and offers choice and flexibility when sending payments, paying, or getting paid. Available in more than 200 markets around the world, the PayPal platform, including Braintree, Venmo and Xoom, enables consumers and merchants to receive money in more than 100 currencies, withdraw funds in 56 currencies and hold balances in their PayPal accounts in 25 currencies.
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 pa**************************n@pa***l.com.
R0077506 ,

Employement Category:

Employement Type: Full time
Industry: Internet / E-Commerce
Role Category: General / Other Software
Functional Area: Not Applicable
Role/Responsibilies: Data Scientist 2

Contact Details:

Company: PayPal Holdings Inc
Location(s): Bengaluru

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₹ 7 - 12 Lakh/Yr

PayPal

PayPal Holdings, Inc. is an American company operating a worldwide online payments system. Online money transfers serve as electronic alternatives to traditional paper methods like checks and money orders