Paypal Recruitment Drive 2025 | Paypal Hiring Software Engineer

www.djobbuzz.com 05 May 2025

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Apply strategic and data analytics skills to solve problems for the PayPal Risk team. Work with stakeholders across different teams such as Product, Platform, Machine Learning, Operations to drive strategic initiatives. Meet our team: The Global Risk Automation Strategy (GRAS) team focuses on driving automation initiatives for the risk back office. We work closely with the Front end strategy, consumer and seller risk operations, product, and modeling teams to identify automation opportunities to drive efficiency.
Your way to impact
As a Data Analyst, you will apply your strategic and analytical skills to solve challenging business problems.
You will team up with world-class professionals to identify actionable insights that ultimately impact the bottom line of the company.
We work in a space that looks deeply into emerging fraud trends to come up with analytical solutions to fight these fraud trends and we also work on business enablement opportunities that fuel growth and drive efficiencies within the organization

Solid 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
Be data-driven and outcome-focused
Must have good business judgment with demonstrated ability to think creatively and strategically
Must be an intuitive, organized analytical thinker, with the ability to perform detailed analysis
Takes personal ownership; Self-starter; Ability to drive projects with minimal guidance and focus on high impact work
Bachelor’s degree in Statistics, Mathematics, Computer Science, Economics, Engineering or related field with 2-3 years’ experience, or Master’s degree with 1-2 years’ experience in risk management, data science and/or loss forecasting, in the payments space or banking/finance services industry would be particularly desirable.
Proficiency using SQL and querying relational databases
Experience in at least one statistical programming language (SAS, R, Python)
Familiarity with reporting tools (Tableau, Power BI or Qlik) is highly desired.
Experience in predictive modelling techniques such as Regression, Classification, Time series forecasting, NLP, etc.

Provide analytical insights into problems, emerging trends and changes to portfolio
Drive projects end to end from ideation to implementation in a time sensitive and efficient manner
Identify new opportunities and continuous improvement to contribute to the team’s KPIs and targets
Work closely with business partners and stakeholders to determine how to design analysis and measurement approaches that will significantly improve our ability to understand and address emerging business issues
Effectively managing relevant stakeholders through the lifecycle of a project by effectively understanding the various needs, priorities and perspectives in order to drive for a solution
Understand new products, features and trends and their impact to back office reviews.
Identifying present or future gaps in the team’s existing reporting and tools suite
Providing regular updates to leadership, product and other stakeholders that will simplify and clarify complex concepts and the results of analyses effectively with emphasis on the actionable outcomes and impact to business