Job Profile Summary
Quantitative Analytics: Covers jobs responsible for utilizing advanced mathematical skills, such as probability, statistics, and machine learning, to construct, design, develop, validate, and implement highly complex quantitative and predictive analytic models that offer continuous insights to a wide range of products, business, or risk mitigation initiatives.

About this role:

Wells Fargo is seeking a Senior Quantitative Analytics Specialist Internal Audit.

Seeking an 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.

• Perform highly complex activities related to creation, implementation, and documentation
• Use highly complex statistical theory to quantify, analyze and manage markets
• Forecast losses and compute capital requirements providing insights, regarding a wide array of business initiatives.
• Utilize structured securities and provide expertise on theory and mathematics behind the data.
• Manage market, credit, and operational risks to forecast losses and compute capital requirements Participate in the discussion related to analytical strategies, modeling and forecasting methods.
• Identify structure to influence global assessments, inclusive of technical, audit and market perspectives.
• Collaborate and consult with regulators, auditors and individuals that are technically oriented and have excellent communication skills

• 4+ 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 discipline such as mathematics, statistics, engineering, physics, economics, or computer science

• 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.
• Universe and Technology Solutions - Audit Universe, AE Risk Assessments, Change Management Risk Management, AMS, SharePoint, Shared Drives, Data Management, and other technology
• Innovation - Artificial Intelligence, Machine Learning, Advanced Analytics, Automation, Models, Audit Reporting, LOB Innovation, Operational Innovation
• Professional Practices - Plan & Issue Management, Practices, Audit Policy Library, oversight of Audit's issue management and remediation activities, Validation Review Committee
• Employee Operations - Employee Experience, and Resource Acquisition, Management, & Reporting
• Quality Assurance (QA) - Assess and drive continuous improvement in the quality of Audit execution, QA reviews, aggregation of QA issues, QA reporting, validation of corrective actions, credible challenge, continuous improvement.
• Practices supports the entire audit department, providing the framework and methodology, control functions, and overall operational support for employees.
• Practices looks to continuously enhance processes and policies to ensure Audit is efficient and effective in reaching its goals.
• The Innovation team includes analytics professionals focused on building advanced solutions for the department - such as artificial intelligence, machine learning, advanced analytics, and automation.
• This is accomplished through strong partnerships with the audit teams Practices supports.

• 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

• 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 work flow 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
• Ability to travel up to 10% of the time