Risk Mining Analytics Manager, Payment Risk Ml

Bachelor's degree in a relevant field (e.g., Statistics, Mathematics, Computer Science, or a related analytical discipline) or equivalent experience
- +5 years of experience in data analysis roles
- 2+ yeas of experience leading, managing and developing teams
- Strong analytical and problem-solving skills
- Excellent written and verbal communication abilities
- Hands-on experience with data analysis tools and programming languages (primarily SQL)
- Strong project management and organizational skills

Have you ever thought about what it takes to detect and prevent fraudulent activity in hundreds of millions of eCommerce transactions across the globe?
What would you do to increase trust in an online marketplace where millions of buyers and sellers transact?
How would you build systems that evolve over time to proactively identify and neutralize new and emerging fraud threats?
Key job responsibilities

A day in the life
As a Risk Mining Analytics Manager, your typical day revolves around providing strategic leadership, mentorship, and guidance to your team of analysts.
You'll collaborate with cross-functional stakeholders, review and present analytical findings, participate in strategic planning sessions, and ensure adherence to policies and best practices.
Additionally, you'll focus on fostering a dynamic work environment, identifying process improvements, and staying up-to-date with industry trends to drive the team's success in identifying and mitigating emerging fraud patterns.
San Jose, CRI
- Experience in risk analytics, fraud detection, or related domains
- Knowledge of agile methodologies and project management frameworks
- Proficiency in programming languages like Python, R, or SQL