Principal Associate, Risk Guide - Enterprise Services Business Risk Office (Machine Learning)

Capital One
McLean, Virginia, United States
Nov 09, 2022
Dec 09, 2022
Full Time
Center 2 (19050), United States of America, McLean, Virginia

Principal Associate, Risk Guide - Enterprise Services Business Risk Office (Machine Learning)

We are growing! 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 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.

As a Risk Guide supporting the Enterprise ML Program, 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.

The successful candidate will have knowledge of process management strategies, risk methodologies, and an ability to build relationships with business and risk partners. Core responsibilities include oversight of process hierarchy, critical business process identification and consultation, horizontal support for Enterprise Services controls program, and controls development of internal solutions uniquely designed to meet the challenges of a digital-first, cloud-first business at scale.

  • Lead in the development of risks, issues, and/or mitigation plans to ensure the business implements needed changes and addresses areas of exposure
  • Have strong communication and collaboration skills, fostering positive working relationships with business partners
  • Oversee, review, and manage Enterprise Services process hierarchy (L1/L2 processes)
  • Manage, coordinate, and contribute to Security and Controls tasks and deliverables for Cloud implementations
  • Manage, oversee, and implement process improvements: data quality, process certification framework, process hierarchy change management, change control, and risk reporting
  • Consult across the first line of defense business partners on Risks, providing advice and guidance as needed
  • Participate in process criticality and process level assessments
  • Build out and maintain Enterprise Services Process Governance strategy and standards
  • Establish and maintain relationships with Enterprise Services process owners, process managers, and vertical risk advisors

Basic Qualifications:
  • At least 3 years of experience in Process Management, Project Management, Risk Management, or Cloud Risk Management
  • At least 3 years of Compliance, Legal, Regulatory or Operations experience
  • At least 2 years of experience in Technology or Cybersecurity

Preferred Qualifications:
  • Business Process Management certification, Lean, or Green Belt Certification
  • Knowledge of PRIME system and data model
  • At least 3 years of experience in Process management
  • At least 3 years of experience in Change or Risk Management
  • At least 3 years of experience as a Risk Guide
  • Ability to drive results and communicate with all levels
  • Deep understanding of appropriate controls to secure cloud-based services (SaaS) products
  • Collaborate with ERM, ORM, and business partners throughout the ES BRO value chain to help drive best practices and principles, specific to process management execution strategies
  • Work closely with the Product GTM teams to ensure that project plans can be effectively implemented and iterated, providing frontline risk feedback and innovative solutions
  • Effectively work in white space and bring structure to deliver on our well managed agenda
  • Knowledge of Machine Learning

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.

Location is New York City

- $127,092 and $149,940 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.

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, race, color, age, national origin, religion, physical and mental disability, genetic information, marital status, sexual orientation, gender identity/assignment, citizenship, pregnancy or maternity, protected veteran status, or any other status prohibited by applicable national, 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 . 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

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).

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