Job Abstract

Senior Manager AI/ML Risk Guide - Enterprise Services Risk Office

The Enterprise Services Business Risk Office provides risk management support to several lines of business including: Tech, Enterprise Product & Experience, Brand, Enterprise Supplier Management, Capital One Ventures, External Affairs, Capital One Software (COS) and Enterprise ML. We are on the cutting edge of risk management and provide support for new and emerging technologies as well as critical business strategies. Capital One has taken a bold journey to build a technology company, while operating in a complex, highly regulated business. 

At Capital One, we believe that Machine Learning (ML) represents the biggest opportunity in financial services today, and is a chance to revolutionize the industry. Capital One’s commitment to Machine Learning has sponsorship from leadership and the Enterprise ML Program is at the heart of this effort, and is leading the way towards building responsible and impactful tools, platforms, and solutions that leverage ML and Generative AI.

As a Risk Guide supporting the Enterprsie ML program, you will partner with colleagues across AI/ML product, design, and tech to deliver results that have a direct impact on customer experience and implement risk solutions to ensure Capital One’s continued stability and success. You should consider this role if you’re someone who enjoys wearing multiple hats and working with a variety of teams and risk advisors across the company.

In this role, you will leverage your technical skills to assess and mitigate risks associated with the deployment of machine learning models and AI systems. This includes performing risk assessments, developing risk mitigation strategies, and implementing technical controls to safeguard against potential threats. You will work closely with engineering and data science teams to ensure that risk management practices are integrated into the development lifecycle of AI/ML products. One will need to manage multiple deliverables at the same time, maintaining a high level of attention to detail and clear communication. Your ability to understand technical concepts and translate them into actionable risk management plans will be crucial. 

This role operates within a dynamic environment with changing conditions, and a core component of success is building relationships and influencing decision-makers with grounded information. You will need to stay updated on the latest technological advancements and regulatory requirements impacting AI/ML, ensuring that the company’s risk management strategies are robust and compliant.

Responsibilities: 

• Develop and execute AI/ML risk office vision and deliver on enterprise and team objectives by working with the AI/ML risk team

• Lead AI/ML Product and Tech teams to deliver on the identification and development of risks, issues, and/or mitigation plans to ensure the business implements needed changes and addresses areas of exposure.

• Develop and help to deliver senior level risk management reporting and communications

• Collaborate effectively with colleagues, stakeholders, and leaders across multiple organizations to achieve strategic objectives 

• Coordinate program-related activities and deliverables to ensure effective collaboration within the team and across stakeholder groups

• Continuously look for ways to improve and innovate in our approach to risk management.

• Establish and maintain relationships with Enterprise Services process owners, process managers, and vertical risk advisors

Basic Qualifications: 

• Bachelor’s Degree or military experience

• At least 5 years of experience in Risk Management

• At least 3 years of experience supporting internal business clients

• At least 3 years of experience in project, process, or program management

Preferred Qualifications:

• 5+ years of experience in Change or Process Management

• Risk Certifications (i.e. CISM, CRISC, CISSP, etc.)

• Business Process Management certification, Lean or Green Belt Certification 

• Strong communication skills with various stakeholders with proven ability to drive results

• Understanding of appropriate controls to secure cloud-based services (SaaS) products

• Knowledge of Machine Learning 

• Knowledge of Generative AI

At this time, Capital One will not sponsor a new applicant for employment authorization for this position.

The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.

New York City (Hybrid On-Site): $199,100 - $227,200 for Sr. Manager, Cyber Risk & Analysis

Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter.

This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.

No agencies please. Capital One is an equal opportunity employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable federal, state or local law. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.

If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.

For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com

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Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).