In the numbers-driven world of fintech, there’s still plenty of room for people, and getting the scoop on the daily experience from a few team members at Capital One demonstrates that. “A key principle in our culture is lifting each other up and knowing that we each play an important role within Capital One,” Renee McKeon, vice president of experience design, said. Meanwhile, Dave Rodgers, credit card division unit manager, identified “a community of support” as a vital element to the remote experience. And, as a communications leader, Cynthia Puryear found that a strong culture means applying considerate ethos outside of work, too: “Capital One is great at giving us paths and choices to focus on work-life balance.”

At a glance

01

FOSTERING INCLUSIVITY

Belonging cultivated through the 30,000-plus associates involved in Business Resource Groups


02

INVESTED IN THE FUTURE

Yearly 3% contribution of annual benefits salary to employees’ 401(k)s


03

AMPLE OOO TIME

PTO complemented by 14 paid holidays


04

AWARD-WINNING EXPERIENCE

One of 100 honorees on Built In’s “Best Large Companies to Work For” list in 2022


Search the 121 jobs at Capital One

Recently posted jobs

Fintech • Machine Learning • Payments • Software • Financial Services
The Salesforce Marketing Cloud Marketing Campaign Specialist will be responsible for designing and optimizing marketing journeys, executing cross-channel campaigns, and infusing leading practices in personalization and automation. The role includes collaborating with partners, evangelizing transformation, and establishing strong relationships across teams.
Fintech • Machine Learning • Payments • Software • Financial Services
Join Capital One as a Senior Software Engineer to collaborate on full-stack development, leverage emerging technologies, and drive a major transformation. Develop cloud-based solutions and stay at the forefront of tech trends. Requires 4 years of software engineering experience with proficiency in Python, AWS, open source frameworks, and Agile practices.
Fintech • Machine Learning • Payments • Software • Financial Services
As a Principal Data Scientist in the Application Fraud Team at Capital One, you will work with a cross-functional team to deliver customer-centric products using machine learning technologies. Responsibilities include building machine learning models, leveraging various technologies, and translating complex work into business goals. The ideal candidate is customer-focused, a technical leader, statistically-minded, and a data expert. Basic qualifications include a Bachelor's Degree with 5 years of experience or a Master's Degree with 3 years of experience in data analytics.