About this role:

Wells Fargo is seeking a Senior Quantitative Analytics Specialist for model risk management team.

Model Risk Management:

Wells Fargo’s Model Risk Management (MRM) is responsible for independently overseeing the management of model risk exposures across the enterprise (including governing, monitoring, and reporting on aggregate model risk exposures, model validations, and model oversight across enterprise). This oversight extends to all phases of a model’s life cycle, including identification, development, validation, implementation, finding resolution, usage, performance monitoring, documentation, and retirement. In banks, financial/ regulatory models are an important tool which enable business ideas and risks to be estimated in a cost-effective way. The Model Validation team is responsible for the managing the model risk. Treasury Asset Liability and Liquidity (TALL) Model Validation: 

The Treasury Asset Liability and Liquidity (TALL) Model Validation group is part of the wider Capital, Liquidity, Allowance, and Planning (CLAP) model validation group and is responsible for validating and approving qualitative and quantitative models used across Wells Fargo in the areas of Treasury, Asset liability, Liquidity, and Business planning. The team’s responsibilities include performing model  validations (E.g., Initial validation, Revalidation, and Target scope validation etc.), writing validation reports, approving model usage, annual reviews, performance monitoring, and risk rank approval. The team works closely with model users, developers, and model governance teams to manage model risk to the firm and facilitate the model approval process.

In this role, you will:

• 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

• The Model Validator is responsible for completion of high-quality model validations to support business activities in the following areas: Treasury, Capital, Liquidity, Operational, Pre-Provision Net Revenue (PPNR), Finance, Asset-Liability Management, Balance Sheet, Business Planning, including Stress Testing (DFAST/CCAR) and Recovery and Resolution Planning (RRP) as applicable.

  Specifically this individual will have responsibility to:

Required Qualifications:

• 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

Desired Qualifications

• Hands on model development/validation experience by using some of the quantitative methodologies including time series, logistic regression, linear programing and some of the tree technologies such as GBM, Random Forest, etc.

• Practical quantitative programming experience with SAS, SQL, Python, R and comfortable working with large datasets

• Skill in managing relationships with key model stakeholders

• Ability to communicate to different audiences (other technical staff, senior management and regulators) both verbally and in writing

• Aptitude for synthesizing data to 'form a story' and align information to contrast/compare to industry perspective

• Attention to detail in both analytics and documentation

• Eagerness to contribute collaboratively on projects and discussions and support the development of high performing teams

• Capability to multi-task and finish work within strict timelines and provide timely requests for information and follow-up questions

• Ability to work independently on complex model validations from start to finish

• Perpetual interest in learning something new, but being comfortable with not knowing the all the answers

• Intellectually curious.  Someone who enjoys solving problems

Posting End Date: 

*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.