About this role:
Wells Fargo is seeking a Quantitative Analytics Specialist.
Wells Fargo’s Corporate Model Risk 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.
In this role, you will:
Required Qualifications:
Desired Qualifications:
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 applicableExecute the Validation processes based on model risk supervisory guidance, Model Risk Management Policy and procedures, and current industry best-practices in one or more of the above-named areas. In particular:Ensure credible challenge of models through validation processEvaluate all relevant components of models and assess model soundness across lifecycleIdentify areas of weakness and work with model owners, risk partners, and other key stakeholders to ensure risk commensurate remediationDemonstrate strong knowledge of subject matter area of focus, as well as sound validation and analysis techniquesDeliver high quality and timely validation reports combining intellectual rigor, analytical depth, and key model risk perspectiveSupport timely resolution of model weaknessesFollow reporting and escalation protocols of review results and follow up on identified risks/observationsGood experience in Python.Exposure to Balance sheet Models, Risk Rank Models, Qualitative experience preferred.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 .Continually work to improve efficiency, consistency, and quality of independent model validationEnsure all models within scope are independently validated per expected standards and schedule2+ years of practical quantitative programming experience with SAS, SQL, Python, R and comfortable working with large datasets. Build and maintain effective working relationships with key partners and stakeholders across Wells FargoUnderstand model risk supervisory guidance, Model Risk Management Policy, and current industry best-practices.Job Expectations:
A PhD in statistics, mathematics, engineering, computer science, economics, or quantitative field; or a Master s degree in the above areas with 2+ years of experience in one or a combination of the previously mentioned fields above.Shift Timings: 1:30 PM to 10:30 PMPosting End Date:
26 Feb 2025*Job posting may come down early due to volume of applicants.
We Value Diversity
At Wells Fargo, we believe in diversity, equity and inclusion in the workplace; accordingly, we welcome applications for employment from all qualified candidates, regardless of race, color, gender, national origin, religion, age, sexual orientation, gender identity, gender expression, genetic information, individuals with disabilities, pregnancy, marital status, status as a protected veteran or any other status protected by applicable law.
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.
Candidates applying to job openings posted in US: 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.
Candidates applying to job openings posted in Canada: Applications for employment are encouraged from all qualified candidates, including women, persons with disabilities, aboriginal peoples and visible minorities. Accommodation for applicants with disabilities is available upon request in connection with the recruitment process.
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.