Job Description

Salary: $101,100 - 126,900 per year Requirements:

• Minimum of 2 years of professional experience in analysis
• Bachelors Degree in a quantitative field (e.g., Business, Finance, Accounting, Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, Computer Engineering, Software Engineering, Mechanical Engineering, Information Systems) or a Masters Degree in a quantitative field or an MBA with a quantitative focus
• Minimum 1 year of experience in statistical model development
• Minimum 1 year of experience in market research
• Minimum 1 year of experience in SQL querying
• Minimum of 2 years in business analysis
• Preferably 1 year of consulting experience
• Proven abilities in strategic and analytical thinking
• Exceptional written and verbal communication skills
• Strong decision-making abilities and a results-driven focus

• Analyze business challenges and identify opportunities for improvement to formulate strategic recommendations
• Conduct modeling and analytics to support new product development and pricing strategies for lending products
• Assist with direct-to-consumer marketing initiatives for selected products and contribute to the design and enhancement of customer experiences
• Enhance credit performance by connecting future consumer credit trends to historical data, building risk models, and testing hypotheses
• Lead problem-solving frameworks, develop hypotheses, perform analyses, and execute solution implementations with monitoring plans
• Collaborate with various teams across the organization, including IT, Sales, Operations, and Finance, to enhance quality, volume, service, and profitability
• Apply a strategic and analytical mindset to decision-making and problem-solving
• Demonstrate strong judgment, leadership capabilities, and integrity with a results-oriented approach
• Manage agendas effectively in dynamic and uncertain environments
• Thrive in a fast-paced and entrepreneurial atmosphere, leveraging previous consulting experience where applicable

• AWS
• Support
• Machine Learning
• Marketing
• Python
• SQL
• Snowflake
• Spark
• Cloud

More:

At Capital One, we are dedicated to reshaping the landscape of Anti-Money Laundering (AML) through innovative analytics and machine learning techniques. Our AML Modeling and Advanced Data Insights team is focused on enhancing how we identify potential money laundering, terrorist financing, and human trafficking threats. We utilize advanced tools like AWS, Snowflake, Python, and Spark to develop and manage predictive risk models, encompassing everything from data sourcing to deployment and monitoring. We offer a collaborative work environment that fosters professional growth and rewards innovative solutions, with competitive benefits designed to support your overall well-being.

last updated 17 week of 2026

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