About the company
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, visitāÆhttps://www.paypal.com ,āÆ https://about.pypl.comāÆand āÆhttps://investor.pypl.com. 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 [email protected].
Job Summary
Your day-to-day
šProvide analytical insights into problems, emerging trends, and changes to portfolio šDrive projects end-to-end from ideation to implementation in a time-sensitive and efficient manner šIdentify new opportunities and continuous improvement to contribute to the teamās KPIs and targets šCase rating: Evaluate each lead and case for risk levels to determine the urgency, importance and need for manual reviews with a goal of Increasing case automation using various risk factors and exposure on a given account, additional profile or transactional information, adoption of Document Intelligence solution etc. šEnsure that we balance automation goals with loss. šPartner with GADS and front end strategy team for agent decision and trend-based feedback model to improve automation quality.
What do you need to bring?
šSolid technical / data-mining skills and ability to work with large volumes of data; extract and manipulate large datasets using common tools such as SQL, SAS, Hadoop, or other programming/scripting languages (Python, R, etc.) to translate data into business decisions/results šProven experience in working with multiple teams and stakeholders to deliver business outcomes. šBachelorās degree or Masterās degree in Statistics, Mathematics, Computer Science, Economics, Engineering, or related field, šProficiency using SQL and querying relational databases šExperience in at least one statistical programming language (SAS, R, Python)
The future of finance is here ā whether youāre interested in blockchain, cryptocurrency, or remote web3 jobs, thereās a perfect role waiting for you.
