Auditor – AVP (Quantitative Analytics Specialist)

About this role:

Wells Fargo is seeking an Auditor – AVP (Quantitative Analytics Specialist) within its Internal Audit Artificial Intelligence (AI) and Machine Learning (ML) Model Development Center of Excellence group (IA MD COE).

The IA MD COE team in Internal Audit is responsible for developing and deploying NLP, machine learning, and AI solutions for key strategic Audit initiatives such as risk management and compliance, business operational excellence, and team member experience. The team is looking for experienced analytics professional to add to its AI/ML/NLP model development team.

As part of the IA MD COE data science team, you will be responsible for designing, developing, and implementing AI/ML NLP models for Internal Audit. You will be leveraging unstructured text such as emails, text messages, notes, and semi-structured data in combination of structured data to apply text analytics and AI/NLP/ML techniques. You will use open stack programming languages (primarily Python) and/or vendor solutions to develop models and deploy them on Wells Fargo’s AI platform. The ideal candidate should be able to think outside the box to uncover new ways to analyze unstructured data in conjunction with analytical tools to answer complicated business questions. As part of the model development team, you will be responsible of delivering solutions that meet business needs as well as any efforts related to model documentation and reviews to ensure the modeling processes and procedures meet corporate model risk policies and requirements. 

As part of our IA MD CoE, we invest in you and your career. In addition to Wells Fargo benefits you may be eligible for, you’ll have access to elite training platforms like O’Reilly and DataCamp, where you can learn from industry leading experts, along with many other internal and external subject specific education opportunities. Our diverse data science team ranges from university professors and experienced practitioners to data scientists new to the industry, creating a full spectrum of thought leadership and solution design. You’ll be part of a team where there is room to grow, learn, contribute and participate in work being done on world class distributed computing platforms with the latest AI ML framework, both Open Source and licensed, that ultimately supports our customers and company. The IA MD CoE also gives you the opportunity to share your passion for data science through peer education and contributing to programs designed to make the practice more approachable, including one for experienced professionals moving into data science roles.
 

In this role, you will:

• Perform audit testing for assigned audits within multiple segments of the Audit Plan
• Evaluate adequacy of design and effectiveness of controls for risks associated with a specific business process
• Identify and develop audit findings and making recommendations to management
• Prepare professional communication and clear audit deliverables including the summary of testing results and preparation of audit issue documents
• Complete timely and accurate testing
• Document work papers in alignment with the Internal Audit policy and guidance
• Collaborate and consult with peers, colleagues, and managers to resolve issues and achieve goals

Required Qualifications:

• 2+ years of Quantitative Analytics experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
• Master's degree or higher in a quantitative field such as mathematics, statistics, engineering, physics, economics, or computer science

Desired Qualifications:

• Internal Audit experience
• Generative AI and Large Language Model experience
• Ability to work and influence successfully within a matrix environment and build effective business partnerships with all levels of team members
• Good analytical skills with high attention to detail and accuracy
• GitHub experience
• Experience with search engine libraries, such as, but not limited to Stanford NLP Library or Lucene search engine

Job Expectations:

• Develop, implement, and calibrate various analytical models
• Perform highly complex activities related to financial products, business analysis and modeling
• Perform basic statistical and mathematical models using Python, R, SAS, C++ and SQL
• Perform analytical support and provide insights regarding a wide array of business initiatives
• Provide solutions to business needs and analyze workflow processes to make recommendations for process improvement in risk management
• Collaborate and consult with peers, colleagues, managers and regulators to resolve issues and achieve goals
• Design, develop, and deploy AI/ML models using state of the art NLP and ML techniques available in the open stack and/or vendor solutions
• Data visualization
• Communicating the results
• Responsible of model development document and monitoring processes
• Adhere to corporate model risk policy and ensure compliance with model risk management
• Working with other data science teams to identify, gather, retain, and publicize modeling artifacts required for approved and repeatable processes
• Contribute to NLP data science teams group effort to stay concurrent with the cutting edge and bleeding edge of NLP/ML/DL algorithms, methodologies in the open-source community and vendor solutions.
• Work with AI technology and production teams to operationalize models

Posting End Date: 

6 Mar 2025

*Job posting may come down early due to volume of applicants.

Applicants with Disabilities

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

Drug and Alcohol Policy

Wells Fargo maintains a drug free workplace.  Please see our Drug and Alcohol Policy to learn more.

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.