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Senior Manager, Data Analyst – AML MADI
Capital One. Partner cross-functionally with teams throughout Capital One to validate business-impacting analytical tools .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in data analytics, statistical modeling, and validation of analytical tools, with a strong focus on problem-solving and communication. Proven ability to lead teams, manage multiple projects, and mentor junior staff in a cross-functional environment.
Highest-signal resume keywords
Data AnalyticsStatistical ModelingAnalytical Tools ValidationLeadershipProject Management
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data AnalysisStatistical MethodsEconometric ModelingPredictive AnalyticsData GovernanceOpen Source Data TechnologiesLarge Data Set ManipulationConceptual ThinkingProblem Solving
Soft Skills
Communication SkillsInterpersonal SkillsLeadership Skills
Industry Keywords
Financial ServicesQuantitative FieldBachelor's DegreeMaster's DegreePhD
Tech Stack
Tools & technologiesOpen Source
About the role
Key responsibilities & impact- Partner cross-functionally with teams throughout Capital One to validate business-impacting analytical tools
- Refine an enterprise-wide analytical tools validation framework
- Plan and execute validation projects
- Assess the quality and risk of analytical tool methodologies and tool usage across Capital One
- Understand technical issues in analytical tools and assess tool risks and opportunities
- Research, identify, and prototype industry best practices for emerging analytical tools
- Communicate results through validation reports and presentations
- Leverage education, colleagues, and training opportunities to develop solutions to business problems
- Coach and mentor junior staff
- Work independently and in teams across multiple concurrent projects
Requirements
What you’ll need- Currently has, or is in the process of obtaining, a Bachelor’s Degree in a quantitative field plus at least 7 years of experience performing data analytics, or a Master’s Degree plus at least 5 years of experience performing data analytics; required degree expected by scheduled start date
- At least 5 years of experience performing professional data analysis work
- At least 5 years of experience leading and developing with open source data technologies
- At least 2 years of experience managing people
- Strong problem-solving and conceptual-thinking abilities
- Communication, interpersonal, and leadership skills
- Ability to handle multiple concurrent projects independently and in teams
- Preferred: Master’s Degree or PhD in Finance, Economics, Statistics, Mathematics, Industrial Engineering, Operations Research, or related field
- Preferred: At least 7 years of statistical or econometric hands-on work
- Preferred: At least 5 years manipulating and analyzing large data sets
- Preferred: At least 5 years in the financial services industry
- Preferred: At least 5 years developing statistical or econometric models
- Preferred: At least 5 years validating statistical or econometric models
- Preferred: At least 2 years with data governance
- Preferred: At least 2 years with predictive analytics
- Capital One will consider sponsoring a new qualified applicant for employment authorization
Benefits
Comp & perks- Performance-based incentive compensation, which may include cash bonuses and/or long-term incentives (LTI)
- Comprehensive, competitive, and inclusive health, financial, and other benefits supporting total well-being
- Work/life balance
- Training opportunities
- Professional development through education, colleagues, and training
- Hybrid work arrangement