Department Overview:

Model Risk Management (MRM):Wells Fargo's Model Risk Management 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.

About this role:

Wells Fargo is seeking a Senior Quantitative Analytics Specialist.

MRM operates in a fast-paced work environment with continuously changing policies and technologies. The successful candidate is expected to be self- motivated, require minimal supervision, and produce work that is consistent with MRM's recognized high standards. Effective work will involve familiarity with source systems of record, analytical data and sampling plans, model replications, model performance assessments, and test model development as effective challenges to lines of business. It further requires strength in writing detailed standard analytical reports to ensure Wells Fargo's compliance with governance policies and regulations. Each validation report will include assessments of the specific business, model purpose and history, the model methodology, data integrity, model development, performance, implementation, and monitoring. These documents are read by a broad audience, including auditors and regulators.

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

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
Bachelor's degree or higher in a quantitative discipline such as mathematics, statistics, engineering, physics, economics, or computer science

Desired Qualifications:

4+ years of experience with minimum Masters/Phd in a quantitative field such as applied math, statistics, engineering, physics, accounting, finance, economics, econometrics, computer sciences, or business/social and behavioral sciences with a quantitative emphasis
Performing model validations and clearly documenting evidence of validation activities
Develop benchmarking and alternative models in Python/SAS
Providing effective challenge to models developed in/for the lines of business, including identifying conceptual weaknesses in a model and understanding tradeoffs with other approaches
Managing and mitigating model risk to meet or exceed regulatory and industry standards
Providing leadership and consultation to less experienced validators and business partners
Communicating model risk findings and limitations to key stakeholders
Contributing to the improvement of model building and model use practices
Providing analytical support and offering insights regarding a wide array of business initiatives
Interacting with senior management and regulators on key modeling issues, including the identification, management, and mitigation of model risk
Proactively following the industry trend to apply and develop new technology to improve efficiency
Strong mathematical, statistical, analytical and computational skills
Able to demonstrate first-hand knowledge of advanced topics in various mathematical and numerical methods such as Monte Carlo, stochastic calculus, differential equations, linear algebra, applied probability, statistics and machine learning knowledge
Eagerness and ability to learn new technologies and programming languages
Strong communication skills for a variety of audiences (other technical staff, senior management and regulators) both verbally and in writing
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
Skill in managing relationships with key model stakeholders
Eagerness to contribute collaboratively on projects and discussions
Perpetual interest in learning something new but being comfortable with not knowing all the answers.
Attention to detail in both analytics and documentation
Aptitude for synthesizing data to form a story and align information to contrast/compare to industry perspective
Intellectually curious, who enjoy solving problems

Job Expectations :

MRM serves as the second line of defense to ensure the integrity of Wells Fargo's model inventory. A Senior Quantitative Analytics Specialist is an individual contributor role. This position will focus primarily on Mortgage, Credit and Market Risk model validations. However, frequent special projects and seasonal requirements for CCAR validations will provide a variety of modeling contexts throughout each year. A validation project typically begins and ends with the analyst, requiring broad and continuous attention to detail, comprehensive documentation, and interactions with developers. Meetings with auditors and regulators will require recall of validation details.
A Senior Quantitative Analytics Specialist should have a deep academic knowledge, broad based approach to solutioning business problems. He/she should approach the problem agnostic of analytic technique, tool or process. Ability to think outside the box and provide ensemble solutions should set them apart to be a high performing team member

Posting End Date:

13 Aug 2026

We Value Equal Opportunity

Wells Fargo is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other legally protected characteristic.

Employees support our focus on building strong customer relationships balanced with a strong risk mitigating and compliance-driven culture which firmly establishes those disciplines as critical to the success of our customers and company. They are accountable for execution of all applicable risk programs (Credit, Market, Financial Crimes, Operational, Regulatory Compliance), which includes effectively following and adhering to applicable Wells Fargo policies and procedures, appropriately fulfilling risk and compliance obligations, timely and effective escalation and remediation of issues, and making sound risk decisions. There is emphasis on proactive monitoring, governance, risk identification and escalation, as well as making sound risk decisions commensurate with the business unit's risk appetite and all risk and compliance program requirements.

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