Provide audit coverage of models used to support the trading, investment, and mortgage servicing right portfolios
Execute model audit engagements and technical audit reviews of models
Provide credible challenge within the third line of defense auditing of modeling practices in the company
Evaluate development documentation, validation activities, ongoing monitoring
Serve as subject matter expert to Wells Fargo Internal Audit staff, senior management, and business partners on regulatory expectations, model risk policy, and current industry modeling practices
Produce quality deliverables suitable for senior management and external distribution
Communicate testing findings and conclusions verbally and in writing to key stakeholders
Build and maintain relationships with internal and external model stakeholders
Understand model risk regulatory requirements, supervisory guidance, model risk policy and current industry practices in areas of expertise
Develop an understanding of Wells Fargo audit methodology and policy
Develop business knowledge of capital market related modeling areas
Champion opportunities and recommendations for process improvement
Requirements
5+ 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
A PhD in a quantitative discipline (Desired)
4+ years of experience in the development, validation, or auditing of interest rates, derivative pricing, market risk, or counterparty risk models in the financial services industry, preferably with a large bank (Desired)
Knowledge of financial derivatives (futures, swaps, vanilla options, exotic options, or asset back securities including RMBS)
Knowledge of capital market structures, market risk management practices, and general derivative pricing theories
Solid background in mathematical techniques such as numerical methods, finite difference methods for PDE, stochastic calculus, Monte Carlo simulation, optimization, or other statistical methodologies
Working knowledge of SR 11-7, SR15-18, OCC 2011-12 supervisory guidance, and Basel – FRTB (Desired)
Strong interpersonal skills, and demonstrated persuasion, negotiation and influencing skills
Ability to work effectively in a team environment and across all organizational levels, where flexibility, collaboration, and adaptability are important
Ability to execute in a fast paced, high demand, environment while balancing multiple priorities
Strong organizational, multitasking, and prioritizing skills
Good analytical skills with high attention to detail and accuracy
Excellent verbal, and written communication skills, ability to summarize, document, and communicate critical information and ability to convey results to diverse audiences, of either technical or non-technical background
Demonstrated ability to lead junior team members (Desired)
Hands-on knowledge and experience with one or more technical tools such as Python, C/C++/C#, SQL, R, Python, Matlab, SPlus, Gauss, or SAS
Benefits
Health benefits
401(k) Plan
Paid time off
Disability benefits
Life insurance, critical illness insurance, and accident insurance
Parental leave
Critical caregiving leave
Discounts and savings
Commuter benefits
Tuition reimbursement
Scholarships for dependent children
Adoption reimbursement
Applicant Tracking System Keywords
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