Senior Quantitative Analytics Specialist

About this role:

Wells Fargo is seeking a Senior Quantitative analytics Specialist.

Model Risk management (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 MRMs 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 Fargos 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
• Master's degree or higher in a quantitative discipline such as mathematics, statistics, engineering, physics, economics, or computer science

Desired Qualifications:

• Proven experience as Model Validator/ Model Developer in the industry. Exposure to Banking Book is highly desirable
• Candidate should have a strong understanding of Balance Forecasting models /Loss forecasting models /PPNR/fee models /Econometric models.
• Candidate should have an excellent business understanding especially the Wholesale/Commercial portfolio (Banks, Corporate, Real estate, Specialized lending). The ideal candidate will bring in deep domain knowledge and advanced technical skills to drive sophisticated Credit risk validation initiatives across Commercial portfolio.
• Deep understanding on how different economic factors interact, howtheoretical model translated into a mathematical equation, would be an added advantage.
• Candidate should be well versed with concept like Estimation, Backtesting, sensitivity, Shock/Scenario creation, Pandemic data management, coefficient stability analysis.
• Proven experience using techniques like Time Series Forecasting, Regression, Machine learning,
• Ideal candidate should be well versed in credit risk model validation/development of models (PD, LGD and EAD, LGD models, stress tests) for credit portfolio of the bank as per regulatory guidelines.
• Skill to apply regulatory requirements outlined in SR11-7, CCAR CECL/IFRS9, and other regulations and rules to conducting model validation assignments.
• Ability to develop comprehensive technical documentation including - Validation reports, Model risk findings, Regulatory compliance documentation.
• Candidate must have hands on experience on Python, Pyspark and related libraries and code development skills (e.g., Python, Pyspark, Pyfarm) .
• Experience in performing model validations and clearly documenting evidence of validation activities. Communicating model risk findings and limitations to key stakeholders (preferred).
• 4-8 years of experience with minimum Masters in a quantitative field such as Statistics/ Econometrics/ Finance/Computer sciences or any other behavioral sciences with a quantitative emphasis.

Job Expectations:

• MRM serves as the second line of defense to ensure the integrity of Wells Fargos model inventory.
• A Senior Quantitative Analytics Specialist is an individual contributor role.
• This position will focus primarily on Commercial Credit and Corporate Economic group model validations. A validation project typically begins and ends with the analyst, requiring broad and continuous attention to detail, comprehensive documentation, and interactions with developers.
• 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.