Your Day-to-day Will Involve
Using modeling and analytics to understand how business decisions impact our bottom line. This may include assessing risks of new products, determining fraud policies, or identifying inefficiencies in existing operations.
Ensuring the team is delivering on our KPIs by using various data mining and data visualization tools to monitor portfolio performance and identify improvement opportunities
Developing hypotheses and set up your own problem frameworks to test for the best solutions. You will also scope the operational feasibility, lead implementation efforts, and monitor the success of your solutions.
Leveraging data analysis tools and technologies. For example, using machine learning to determine new fraud trends.
Creating new solutions rooted in empathy and research that assist all customers as they work to better manage their finances.
Collaborating in a team environment. As part of our crew, you will learn to energetically rally diverse groups in pursuit of a common goal.
The Ideal Candidate Is
Innovative & Curious - You have the desire and ability to connect and empathize with our customers. You have an entrepreneurial spirit and get excited about creating new businesses and reinventing current ones. You ask why, explore, and bring your unique perspective to the table.
Analytical & Action-Oriented - You are data driven and outcome focused. You grow comfortable with ambiguity, fueled by a hunger to learn and constantly seeking out new challenges. You have a desire to take action, try new things, and sometimes fail. You persevere but know when to change course and are up for juggling multiple deliverables.
Collaborative & Team-Oriented - You always keep the people around you informed and are excited to communicate complex ideas clearly to make sure your co-workers understand the “why” behind their work and their key priorities.
Inclusive - You will empathize with those around you and care about their success, as you bring people together around what’s possible.
Basic Qualifications:
Bachelor’s degree or higher in a quantitative field (Business, Math, Economics, Finance, Statistics, Science, Engineering)
At least 1 year of work experience in analysis or consulting
Experience with or willingness to learn data extraction, analysis, and visualization tools such as SQL, R, Python, Tableau
PayPal provides equal employment opportunity (EEO).
