Artificial Intelligence and Machine Learning Technical Risk Principal Associate, ES Risk

Overview

Artificial Intelligence and Machine Learning Technical Risk Principal Associate, ES Risk

The Enterprise Services Business Risk Office provides risk management support to several lines of business including: Tech, Digital, Brand, Enterprise Supplier Management, Capital One Ventures, External Affairs, Capital One Software (COS) and Enterprise AI/ML (Artificial Intelligence/Machine Learning). 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 AI/ML represents one of the biggest opportunities in financial services today, and is a chance to revolutionize the industry. The Enterprise AI/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 Principal Risk Associate in Technology, you need to be a highly motivated Risk Management professional with excellent organizational and communication skills with a passion and  innovation to drive solutions for mitigating potential risks to the Company.

In this role, You will partner with colleagues across 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. Responsibilities require partnering with a broad set of leaders and stakeholders to identify existing and potential emerging risks in an open, collaborative environment where new ideas and solutions are both welcomed and rewarded. You will play a critical role in driving visibility to Risk Management governance and reporting. This role requires someone who pays close attention to the details, has strong communication skills, and someone with the confidence to challenge the status quo and drive step change improvements.

Responsibilities:

• Support ML platform teams with identifying risks, issues and events and create mitigate plan and driving execution of the mitigation plans

• Communicate risk and governance standards to ML platform teams and educating the teams on the importance of these requirements to drive Well Managed practices

• Support the development of risk management and reporting to drive meaningful conversations, accountability and awareness

• Participate in risk/controls forums and contribute to continuous improvement of risk management practices and processes

• Collaborate effectively with all lines of defense (testing, effective challenge and audit)

• Provide oversight and guidance during risk/controls assessments (PLA, CBP, ARA, etc.)

• Facilitate a proactive approach to ML risk posture and cultivate relationships cross-functionally 

• Deliver ad hoc requests to support broader deliverables for the ML leadership and platform teams, as needed

• Analyze information to proactively identify risks, trends, and process improvements 

• Support and align timely delivery of regular monthly, quarterly and semi-annual deliverables, including research and preparation of content, reviews and approvals before delivery

Basic Qualifications:

• Bachelor's Degree or Military Experience

• At least 3 years of experience in Risk Management, Cloud Risk Management, Process Management, Project Management, or a combination of these

• At least 2 years of experience in Technology, Cybersecurity, Artificial Intelligence, or Machine Learning

Preferred Qualifications:

• At least 4 years of experience in risk management or technology risk management

• At least 5 years of experience in project, program, or portfolio management

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

• Risk Certifications (CRISC, CISM, CRCM, CIPP, ABA Risk Mgmt Certification)

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.

McLean, VA: $127,500 - $145,500 for Prin Assoc, Cyber Risk & Analysis

Richmond, VA: $115,900 - $132,200 for Prin Assoc, 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.

Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at theCapital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.

This role is expected to accept applications for a minimum of 5 business days.

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

Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.

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).