Senior Enterprise Risk Specialist - Liquidity Risk / Model Validation

Wells Fargo is seeking a Senior Enterprise risk specialist.

In this role, you will:

• Participate and develop, implement and monitor risk based governance programs to identify, assess and mitigate risks across lines of business and risk domains in multiple risk categories
• Review moderately complex business, operational, or technical challenges that require an in depth evaluation of variable factors
• Provide oversight, develop, implement, monitor and challenge for corporate governance risk programs and manage reporting
• Utilize risk knowledge to issue resolutions for moderate to high risk companywide projects and initiatives
• Develop, implement, monitor and interpret, risk based governance programs, create new policies and guidelines
• Resolve moderately complex issues and lead team to meet risk area, projects and process deliverables, while leveraging solid understanding of the risk policies, procedures and compliance requirements
• Guide and direct the organization in terms of policies, effectiveness of companywide initiative execution, and reporting to the Board
• Collaborate and consult with peers, colleagues and managers to resolve issues and achieve goals, may lead projects, teams or serve as a mentor
• Identify training opportunities, design and coordinate development of the training materials, deliver training

Required Qualifications:

• 4+ years of Risk Management experience (includes Compliance, Financial Crimes, Operational Risk, Audit, Legal, Credit Risk, Market Risk, IT Systems Security, Business Process Management) or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education.

Desired Qualifications:

• License certifications in finance and risk such as CFA, FRM, preferred
• Understanding of model risk supervisory guidance and model validation requirements for large and complex institutions, across geographies
• Knowledge of Wells Fargo systems and process, and industry standard practices for CCAR/DFAST, RRP, etc.
• 5+ years of experience in model validation or model development 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.
• 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, and statistics (Logistic regression, Time Series and Machine learning techniques).
• Familiarity in one or more of the following areas: Liquidity risk, Treasury, Asset Liability management, Capital models, Predictive modelling with Logistic regression, Time Series and Machine learning techniques.
• Strong mathematical, statistical, analytical, and computational skills along with programming skills
• 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.
• Attention to detail in both analytics and documentation.