Lead Operational Risk Officer at Wells Fargo
Charlotte, NC 28202, USA -
Full Time


Start Date

Immediate

Expiry Date

16 Nov, 25

Salary

0.0

Posted On

16 Aug, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

It, Training, Analytical Skills, Data Engineering, Architecture, Communication Skills

Industry

Financial Services

Description

APPLICANTS WITH DISABILITIES

To request a medical accommodation during the application or interview process, visit Disability Inclusion at Wells Fargo .

WELLS FARGO RECRUITMENT AND HIRING REQUIREMENTS:

a. Third-Party recordings are prohibited unless authorized by Wells Fargo.
b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process

Required Qualifications:

  • 5+ years of Operational Risk experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, educatio

Desired Qualifications:

  • Strong problem solving skills
  • Data science and analytics background
  • Experience in Big Data engineering and architecture as it relates to building data pipelines supporting controls and evaluating risk exposure
  • Strong analytical skills with high attention to detail and accuracy
  • Ability to articulate complex concepts in a clear manner
  • Excellent verbal, written, and interpersonal communication skill
Responsibilities

Wells Fargo is seeking a Lead Operational Risk Officer to join the Operational Risk Management (ORM) team as part of Corporate Risk.
ORM is looking for a subject matter expert across Technology, Information Security and Data Management. This role involves working with stakeholders to establish a robust framework and architecture to manage large data models and build out analytics, reporting, and using AI to drive deeper insights into risk exposure.

In this role, you will:

  • Designing and implementing the end-to-end approach and architecture to consume technology, infosec and data management data into a single ecosystem so that analytics, reporting, and AI insights can be achieved
  • Ongoing support and engagement for new features and capabilities required to embed AI into IRM Oversight routines
  • Develop, implement, and monitor risk-based programs to identify, assess, and mitigate any operational risk that arises from inadequate or failed internal processes, people, systems, or external events
  • Maintain a balance between risk mitigation and operational efficiency
  • Evaluate the adequacy and effectiveness of policies, procedures, processes, systems, and internal controls
  • Analyze extremely complex business and system changes to determine impact, identify operational risk issues and participate in the development of risk ratings
  • Provide operational risk expertise and consulting to complex business units for initiatives with high risk, generally spanning multiple business lines
  • Design and develop the most complex testing strategies, methodologies and analyses
  • Consult with the business to develop corrective action plans and effectively manage change
  • Identify training opportunities
  • Design and coordinate the development of training materials and coordinate or deliver training
  • Report findings and develop business cases to influence executive management, management committee member or head of business on the need for controls to mitigate risk
  • Collaborate and consult with peers, colleagues, and managers to resolve issues and achieve goals
  • Lead project or virtual teams and mentor less experienced staff

Day to day activities will include but not limited to:

  • Data Architecture
  • Data On Boarding
  • Data Analysis
  • Agent Development
  • AI Consulting
  • Education and Outreach to Support AI training

Required Qualifications:

  • 5+ years of Operational Risk experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education

Desired Qualifications:

  • Strong problem solving skills
  • Data science and analytics background
  • Experience in Big Data engineering and architecture as it relates to building data pipelines supporting controls and evaluating risk exposure
  • Strong analytical skills with high attention to detail and accuracy
  • Ability to articulate complex concepts in a clear manner
  • Excellent verbal, written, and interpersonal communication skills

Job Expectations:

  • This position is not eligible for Visa sponsorship.
  • This position offers a hybrid work schedule.
  • Willingness to work on-site at stated location on the job opening.

Posting Locations:

  • 401 S. Tryon Street - Charlotte, NC
  • 401 Las Colinas Blvd W - Irving, TX
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