Fueled by a fundamental belief that having access to financial services creates opportunity, PayPal (NASDAQ : PYPL) is committed to democratizing financial services and empowering people and businesses to join and thrive in the global economy.
Our open digital payments platform gives PayPal’s 375 million active account holders the confidence to connect and transact in new and powerful ways, whether they are online, on a mobile device, in an app, or in person.
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.
This role offers a unique opportunity to manage payment cycle by developing machine learning algorithms and build up automation pipeline / system to automate data driven fraud prevention strategies and realize decision accuracy optimization.
Primary job responsibility :
Design, develop and maintain machine learning / AI algorithms, integrate the machine learning algorithm into E2E automation pipeline, which will be used to automate data-driven strategies / solutions for PayPal consumer risk management.
Makes sound decisions that balance risk, user experience and financial performance through the algorithm optimization.
Identify and address problems and issues during normal course of work and respond to risk mitigation needs quickly to solve issues with minimum guidance.
Develop and automate tracking functionality that monitors volume and solution efficacy. Regularly evaluate and communicate performance of automated strategies and solutions to management.
Participate in the formulations and implementation of departmental processes, procedures, policies and standards.
Exercise judgment in selecting methods, techniques and evaluation criteria for obtaining results on matters of significance to the business.
Look for improvement and innovation opportunities with business impact. Provide a source of high quality ideas.
Develop automation tools which could be used to reduce human efforts and improve efficiency
Job Requirements :
Strong in data science, analytics and problem solving. Experienced with predicative modeling, data mining and analytical tool.
Proficient with SQL, Python, SAS, and etc., familiar with Unix.
Proven experience in employing analytics solution on real world problems.
Good business sense and logical thinking. Ability to synthesize information and generalize the pattern.
Proven ability to work independently and proficiently on well-defined projects; Focuses primarily on how to achieve overall business objectives of a project with speed and quality
Effective inter-personal skills. Manage relationship with key partners across different functions. Able to collaborate with remote teams effectively.
Skilled in Presenting can effectively communicate in large or small group settings.
Basic qualification :
Bachelor’s degree in a quantitative or computer science or engineering field with 6+ year professional work experience in a relevant field.
Or Master’s degree with 4+ year profession experience.
Industry experience in payments, e-commerce, or financial services is a strong plus
Fluent in English.
We're a purpose-driven company whose beliefs are the foundation for how we conduct business every day. We hold ourselves to our One Team Behaviors which demand that we hold the highest ethical standards, to empower an open and diverse workplace, and strive to treat everyone who is touched by our business with dignity and respect.
Our employees challenge the status quo, ask questions, and find solutions. We want to break down barriers to financial empowerment.
Join us as we change the way the world defines financial freedom.