Important Note: During the application process, ensure your contact information (email and phone number) is up to date and upload your current resume when submitting your application for consideration. To participate in some selection activities you will need to respond to an invitation. The invitation can be sent by both email and text message.  In order to receive text message invitations, your profile must include a mobile phone number designated as 'Personal Cell' or 'Cellular' in the contact information of your application.

At Wells Fargo, we want to satisfy our customers' financial needs and help them succeed financially. We're looking for talented people who will put our customers at the center of everything we do. Join our diverse and inclusive team where you'll feel valued and inspired to contribute your unique skills and experience.

Help us build a better Wells Fargo. It all begins with outstanding talent. It all begins with you.

Corporate Risk helps all Wells Fargo businesses identify and manage risk. The team focuses on several key risk types, including conduct, credit, financial crimes, information security, interest rate, liquidity, market, model, operational, regulatory compliance, reputation, strategic, and technology risk.

The group provides leadership, enhances communications, assists with problem identification and solutions, and shares best practices. In addition, the group provides an enterprise-wide view of risk, assists management and our Board of Directors in identifying and monitoring risks that may affect multiple lines of business, and takes appropriate action when business activities exceed the risk tolerance of the company.

Corporate Risk Model Development (CRMD) is a team within the Market and Counterparty Risk Management group, a business line of Corporate Risk. CRMD is responsible for developing models in support of the Financial Crimes, Market Risk, Counterparty Risk, Fair Lending, and Operational Risk businesses. CRMD's activities include writing software in various programming languages, as well as crafting analysis using tools such as SAS and MATLAB. CRMD generally supports ongoing model-lifecycle activities, including validation, for the models it develops. CRMD develops models consistent with the Model Risk Management Policy, and as such is subject to oversight by Corporate Model Risk (CMoR).

CRMD is tasked with ensuring that all Quantitative and Qualitative models used for management of market and counterparty risk are inventoried and their risk is managed effectively per the corporate Model Risk Management program. This position is a part of a highly skilled team responsible for all aspects of LOB model risk management including governance, documentation, performance monitoring, and findings resolution.  This position will be directly involved with providing quantitative support of the risk management of structured products, more specifically, of securitized and non-securitized mortgage products held by Wells Fargo Home Lending (WFHL) and Wells Fargo Securities (WFS).

The primary duties will include, but not be limited to, the following:

• Develop, test, and support enhancements to the WFHL's VaR model covering Mortgage Servicing Rights (MSRs) as well as the hedge portfolio, consisting of TBAs, CMM contracts, Swaps, TBA options and other hedging instruments.
• Participate in risk modeling projects on the WFS side that are related to WFS MBS, ABS, CMBS and structured products derivatives portfolios.
• Work with Market Risk Oversight groups and business lines to design, prototype, and implement enhancements to existing risk models or design new risk models for relevant portfolios, using C++, Matlab, SAS or R; implementation of model prototypes in Python, R, Excel etc.,
• Writing technical specifications and coordinating with IT on implementation of models, providing analytical support for the models in production.
• Working with Corporate Model Validation and federal regulatory agencies to get the approval for use of the models.

• 6+ years of experience in an advanced scientific or mathematical field
• A master's degree or higher in a quantitative field such as mathematics, statistics, engineering, physics, economics, or computer science

• A PhD in a quantitative discipline
• Knowledge and understanding of risk management or quantitative modeling
• Knowledge and understanding of stochastic calculus, stochastic processes, and derivatives valuation

• Expertise in mortgage backed securities and related products.
• Experience with other structured products, such as CMBS and ABS is desirable.
• Understanding of mortgage origination and securitization process.
• Experience with Market Risk is a plus.
• Experience with stakeholders (e.g. risk officers, sales, marketing, traders) who utilize market risk measures and limits for business approval.
• Experience in risk management and trading system architecture used for Interest Rate, Credit and Structured Products.
• Experience in computational methodologies, including finite difference or finite element methods, Monte Carlo simulations and understanding of underlying numerical and/or computational issues.
• Strong programming skills, including C/C++, Python and Excel/VBA/COM. Statistical programming in SAS and/or R/S+.
• Demonstrated excellence in both written and verbal communication skills with the ability to present and influence various levels of individuals, across various groups, within the organization.

All offers for employment with Wells Fargo are contingent upon the candidate having successfully completed a criminal background check. Wells Fargo will consider qualified candidates with criminal histories in a manner consistent with the requirements of applicable local, state and Federal law, including Section 19 of the Federal Deposit Insurance Act.



Relevant military experience is considered for veterans and transitioning service men and women.

Wells Fargo is an Affirmative Action and Equal Opportunity Employer, Minority/Female/Disabled/Veteran/Gender Identity/Sexual Orientation.