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Capital One

Artificial Intelligence and Machine Learning Technical Risk Associate, ES Risk

Reposted Yesterday
Be an Early Applicant
Hybrid
2 Locations
84K-106K Annually
Junior
Hybrid
2 Locations
84K-106K Annually
Junior
The role involves supporting risk management for AI/ML technologies, collaborating with teams, managing risks, and ensuring compliance with regulations.
The summary above was generated by AI
Artificial Intelligence and Machine Learning Technical Risk 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.
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As the Risk Associate supporting the Enterprise AI/ML Program, you will partner and support colleagues across 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, fast paced environments, and collaborating across teams and disciplines throughout the enterprise. 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 data. In this role you'll successfully manage multiple concurrent deliverables while ensuring a high level of attention to details, achieve project milestones and deliverables within established deadlines, and provide clear and consistent communication to support accuracy and team alignment.
Responsibilities:
  • Assist in the development and execution of the ES Risk vision and deliver on enterprise and team objectives.
  • Deliver on the identification and development of risks, issues, and/or mitigation plans to ensure product and tech teams within the business implement needed changes and address areas of exposure.
  • Develop and communicate 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:
  • High School Diploma, GED, or equivalent certification
  • At least 1 year of experience in Risk Management, Cloud Risk Management, Process Management, Project Management, or a combination of these
  • At least 1 year of Compliance, Legal, Regulatory or Operations experience
  • At least 1 year of experience in Technology, Cybersecurity, Artificial Intelligence, or Machine Learning

Preferred Qualifications:
  • Bachelor's Degree or Military Experience
  • At least 2 years of experience in Process management
  • At least 2 years of experience in Change Management or Risk Management
  • At least 2 years of experience in Technology, Cybersecurity, Artificial Intelligence, or Machine Learning
  • Ability to drive results and communicate with all levels
  • 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: $92,800 - $105,900 for Associate, Cyber Risk & Analysis
Richmond, VA: $84,400 - $96,300 for Associate, 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 the Capital 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 (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. 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 [email protected] . 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 [email protected]
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).

Top Skills

Artificial Intelligence
Cloud Risk Management
Cybersecurity
Machine Learning
Risk Management

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