In your day to day role you will -
- In this role you will have full ownership of a portfolio of merchants and is responsible for end-to-end management of loss and decline rates.
- Collaborate with different teams to develop strategies for fraud prevention, loss savings, and optimize transaction declines or improve customer friction.
- You will work together with cross-functional teams to deliver solutions and providing Risk analytics on frustration trend/ KPIs monitoring or alerting for fraud events.
- These solutions will adapt PayPal s advanced proprietary fraud prevention tools enabling business growth.
What do you need to bring-
- 2-4 years of relevant experience working with large-scale complex dataset.
- Strong analytical mindset, ability to decompose business requirements into an analytical plan, and execute the plan to answer those business questions
- Excellent communication skills, equally adept at working with engineers as well as business leaders
- Want to build new solutions and invent new approaches to big, ambiguous, critical problems
- Strong working knowledge ofExcel, SQL and Python/R
- Technical Proficiency Exploratory Data Analysis and expertise in preparing a clean and structured data for model development.
- Experience in applying AI/ML techniques for business decisioning including supervised and unsupervised learning (e.g., regression, classification, clustering, decision trees, anomaly detection, etc.).
- Knowledge of model evaluation techniques such as Precision, Recall, ROC-AUC Curve, etc. along with basic statistical concepts.
