As a Sr Manager, Data Analyst, you will partner cross-functionally with teams throughout the company to validate business impacting analytical tools. You will enhance your technical and analytical skills, while also working with leaders to influence business strategies. With a network of hundreds of Data Analysts, Quants, and Data Scientists, challenging projects with an eye on the bottom line and a focus on work/life balance, we’ve created a dynamic environment with plenty of room for you to learn, grow, and realize your full potential. 

Refining a new Enterprise-wide analytical tools validation framework 

Planning and executing validation projects 

Assessing the quality and risk of analytical tool methodologies across Capital One, and the nature of tools usage within those processes 

Understanding technical issues in analytical tools and assessing tools risks and opportunities 

Independently researching, identifying, and prototyping industry best practices for emerging analytical tools 

Communicating results clearly and concisely both verbally and through written communications via validation reports and presentations 

Leveraging education, colleagues and training opportunities to develop solutions to business problems 

Coaching and mentoring junior staff 

Educational Background: Bachelor’s Degree in quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science or a related quantitative field)

Professional Experience: 

• At least 7 years of experience in data analytics

• At least 5 years of experience leading and developing with open source data technologies

• At least 2 years of experience managing people

Amenable to work in a hybrid set up; pre dominantly work from home

Amenable to work in a night shift and or late mid shift schedule

Skills Required:

• Possessing strong problem solving and conceptual thinking abilities 

• Excellent communication skills , interpersonal and leadership skills

Master’s Degree or PhD in a Finance, Economics, Statistics, Mathematics, Industrial Engineering, Operations Research, or a related field 

At least 7 years of experience in statistical or econometrics hands-on work 

At least 5 years of experience manipulating and performing analysis with large data sets 

At least 5 years of experience in financial services industry 

At least 5 years of experience in developing statistical or econometric models 

At least 5 years of experience in validating statistical or econometric models 

At least 2 years of experience with data governance 

At least 2 years of experience with predictive analytics