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


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11 Hours From Now
McLean, VA
Hybrid
Fintech • Machine Learning • Payments • Software • Financial Services
As a Business Analysis Manager at Capital One, you will apply your strategic and analytical skills to major company challenges. You'll team with world-class professionals to develop and test strategies that ultimately impact the bottom line.
Fintech • Machine Learning • Payments • Software • Financial Services
Manager, Data Science role at Capital One focusing on Consumer Identity Machine Learning. Responsibilities include developing machine learning models, partnering with teams to improve operationalization, and conducting experiments to guide improvements in customer experiences. Ideal candidate is innovative, creative, technical, and statistically-minded.
Fintech • Machine Learning • Payments • Software • Financial Services
As a Manager of Data Science at Capital One, you will lead the Consumer Identity Machine Learning team in developing real-time, personalized customer experiences across digital products. Responsibilities include building machine learning models, collaborating with business teams, and writing software for data analysis.