Artificial Intelligence and Machine Learning Technical Risk Associate, ES Risk
Capital OneAbout the role
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 th
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