Develop and maintain suspicious activity detection models to safeguard Capital One from fraud and money laundering
Work collaboratively with lines of business, AML investigators, and Advisory and Legal partners
Analyze customer and transactional data to identify opportunities for improvement in risk detection
Communicate recommendations to leaders through memos and presentations
Support specific risk models designed to highlight suspicious activity across various lines of business
Requirements
At least 2 years of professional experience performing analysis
A Bachelor's Degree in a quantitative field (Business, Finance, Accounting, Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, Computer engineering, Software engineering, Mechanical engineering, Information Systems or a related quantitative field) or a Master's Degree in a quantitative field (same fields)
1+ years of experience in Statistical model building
1+ years of experience in market research
1+ years of experience in SQL querying
2+ years of experience in business analysis
1+ years of experience in consulting
Tech Stack
SQL
Benefits
Performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI)
Comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being