Join Our Team as Senior Manager, Data Scientist - Model Risk at Capital One

At Capital One, positioned at the epicenter of data innovation in McLean, Virginia, we are inviting applications for the challenging role of Senior Manager, Data Scientist - Model Risk. Capital One, a pioneer in the financial sector, leverages extensive data-driven decision-making processes, embodying its commitment to technology and innovation since disrupting the credit card industry back in 1988.

Who Are We Looking For?

The ideal candidate is not only a trailblazer in technology but also an innovator and a creative thinker. You are known for stepping up to the digital frontier, crafting precise machine learning models and leading strategic business decisions. Your proficiency in open-source programming and cloud platforms, coupled with your hands-on experience in analytics and machine learning, sets you apart as a leader in data science.

Key Responsibilities

As a Senior Manager, Data Scientist - Model Base with Capital One, you will:

• Collaborate with cross-functional teams including data scientists, engineers, and product managers to develop products that resonate with our customers.
• Communicate complex modeling systems to senior business leaders to guide model strategy and its business implications.
• Evaluate and refine decision-making systems using your expert knowledge in state-of-the-art methodologies.
• Advance our practice of machine learning from model design to implementation, ensuring robustness and efficacy.
• Drive the development of benchmark models to enhance critical decision-making processes.

Basic and Preferred Qualifications

• Basic Qualifications: You are expected to hold at least a Bachelor’s Degree with 7+ years in data analytics or a Master’s Degree with 5+ years or a PhD with 2+ years’ experience in the field. Additionally, you should have a minimum of 3 years’ experience in open-source programming, machine learning, and working with relational databases.
• Preferred Qualifications: A PhD in STEM fields and extensive experience in Python, Scala, or R, and machine learning, combined with proficiency in AWS and managerial experience, will be highly advantageous.

Why Join Capital One?

Capital One is not just a workplace. We are a community that supports your growth and well-being, offering a comprehensive and competitive set of benefits. These are tailored to assist in your professional and personal development, emphasizing our commitment to inclusion and diversity in the workplace.

Ready to redefine the future of banking? Explore this role and see where a career at Capital One can take you. Applications are open for a minimum of 5 business days. Capital One is committed to diversity and inclusion, offering equal employment opportunities to all applicants without regard to race, color, religious beliefs, national origin, sex, sexual orientation, gender identity, age, veteran status, or any other legally protected status.

For more details, visit the . If you need accommodation during the application process, please contact our recruiting team.

Take the next step in your career with Capital One. Apply now!