Analytics Manager – Data Science

Role Overview

The Credit and Fraud Risk team is responsible for managing enterprise risks through the customer life cycle and across all our global products. The team develops industry-first data capabilities, builds profitable decisioning frameworks, creates machine-learning powered predictive models, and improves customer servicing strategies.

What You Will Do

Develop and maintain predictive models using advanced statistical and Machine Learning techniques, partner with cross-functional teams, provide decision science support, and enhance credit risk decisions.

Why It Might Be a Fit

Strong analytical and problem-solving skills, thought leadership, and solution-oriented mindset are required. Ability to think strategically and apply both quantitative methods and business insight to get results.

Requirements

• Advanced Degree in a quantitative field such as Economics, Statistics, Mathematics, Operations Research, Engineering, Computer Science
• Strong analytical and problem-solving skills
• Strong working knowledge of statistical and data mining techniques, including regression analysis and Machine Learning tools for pattern recognition and predictive analytics
• Experience working with very large datasets using Big Data tools and platforms (Hadoop, PIG/HIVE/Mahout)
• Hands-on knowledge of statistical/mathematical software (e.g. SAS, R, Python) and database query languages (e.g. SQL)
• Thought leadership and solution-oriented mindset
• Ability to think strategically and apply both quantitative methods and business insight to get results
• Ability to build strong relationships in a cross-functional environment
• Clear, effective written and oral communication skills

Benefits

• 20 weeks of Paid Parental Leave
• Health (dental and vision) and Life Insurance
• Tuition Reimbursement
• 401k with match