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Data Scientist, Risk @ PayPal

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 Data Scientist, Risk

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.
PayPal's Global Fraud Risk team is looking for Data Scientists who are passionate, committed individuals and want to join the world s top risk talents in solving some of the most challenging problems in a collaborative global environment that promotes learning and rewards innovation. Risk Data Scientists are highly motivated team players who specialize in analyzing fraud patterns and creating and adapting advanced fraud prevention mechanisms while focusing on the customer s experience. The Data Scientists overcome challenges presented by big data, evolving fraud techniques and new payment technologies by leveraging area expertise, data analysis, advanced algorithms and story-based analytics. As a Data Scientist, you will apply your strategic and analytical skills to major company challenges. You will team up with a wide variety of partners in the company, such as product experts, UX, risk platform and payments engineers to identify actionable insights that ultimately impact the top and bottom line. We work in a space that looks deeply into emerging fraud trends and the business enablement opportunities that help the business in fueling growth and strategic decisions. You will be able do it all in a collaborative environment that values your insight, encourages you to take on new responsibility, promotes continuous learning, and rewards innovation with a global team that is multi-disciplinary with broad spectrum of industry experiences, deep analytical and quantitative expertise.
  • Use strong problem-solving and analytical skills to design, develop and manage real-time end-to-end fraud risk solutions that not only solve emerging fraud trends but also provide great experience to our customers.
  • Apply advanced statistical techniques, innovative algorithms, and industry tools to predict and manage fraud risk associated with PayPal products in a big data environment
  • Provide regular updates to Risk leaders, peers and other stakeholders that simplifies complex analytical research and insights into easy-to-follow actionable outcomes and drives impact for our customers, our stakeholders and PayPal
  • Collaborate with cross functional stakeholders including product and engineering teams to deploy data driven risk mitigation solutions, new product capabilities and platform capabilities to combat fraud risk

Required Qualifications (if you don t meet the below but still think you are the right person for the job please tell us why!)

  • Bachelor s Degree or above in one of the following: economics, finance, engineering, exact sciences, etc.
  • 2+ years experience in performing data management and analytics.
  • Must be an intuitive, organized analytical thinker, with proven ability to perform detailed analysis in real world problems
  • Strong written, oral, and interpersonal skills a must, including the ability to explain and/or present analyses and convey complex ideas succinctly to all audiences
  • Proficiency using SQL and querying relational databases, working knowledge of Hadoop, Python, R, Tableau
  • Team player, responsible, delivery-oriented
  • Excellent spoken and written English

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.
R0078900
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Employement Category:

Employement Type: Full time
Industry: Internet / E-Commerce
Role Category: Sales / BD
Functional Area: Not Applicable
Role/Responsibilies: Data Scientist, Risk

Contact Details:

Company: PayPal Holdings Inc
Location(s): Bengaluru

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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