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Corporate Risk - Lead QAS - Stress Testing and Balance Sheet Model Validation

  • Artificial Intelligence & Quantitative Analytics
  • Full time
  • R-234566

About this role:

Wells Fargo is seeking a Lead Quantitative Analytics Specialist. CMoR operates in a fast-paced work environment with continuously changing policies and technologies. The successful candidate as a Lead QAS is expected to be self- motivated, require minimal supervision, and produce work that is consistent with CMoR’s 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, benchmarking, stress testing, sensitivity analysis of Deposits and Retail Credit Loss models . The models include wide variety of models such as Comprehensive Capital Analysis and Review (CCAR) stress testing, Current Expected Credit Loss (CECL and BAU. The candidate should able to work in validation of other models such as in Basel model, Wholesale Commercial models etc.  It further requires strength in writing detailed standard analytical reports to ensure Wells Fargo’s 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:

  • Lead complex model validation activities and initiatives including creation, implementation, documentation, validation, articulation and defense, of highly statistical theories in models
  • Performing model validations and clearly documenting evidence of validation activities
  • Develop benchmarking and alternative models in Python/R/Matlab/SAS
  • Conducting model replication and review of model documentation
  • Providing effective challenge to models developed in/for the lines of business, including identifying conceptual weaknesses in a model and understanding tradeoffs with other approaches
  • Performing independent back-testing, stress testing, scenario analysis and sensitivity testing.
  • Assessing conceptual soundness of the statistical model theories and methodologies
  • Managing and mitigating model risk to meet or exceed regulatory and industry standards
  • Providing leadership and consultation to less experienced validators and business partners
  • Communicating model risk findings and limitations to key stakeholders
  • Contributing to the improvement of model building and model use practices
  • Providing analytical support and offering insights regarding a wide array of business initiatives
  • Interacting with senior management and regulators on key modeling issues, including the identification, management, and mitigation of model risk
  • Proactively following the industry trend to apply and develop new technology as part of R&D to improve efficiency


Required Qualifications:

  • 7-10 years of experience in model validation/development or related data analytics are 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. Experience in Banking domain is an added advantage.


Desired Qualifications:

  • Strong mathematical, statistical, analytical and computational 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
  • 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;
  • Skill in managing relationships with key model stakeholders
  • Eagerness to contribute collaboratively on projects and discussions
  • Perpetual interest in learning something new, but being comfortable with not knowing the all the answers
  • Attention to detail in both analytics and documentation
  • Aptitude for synthesizing data to 'form a story' and align information to contrast/compare to industry perspective
  • Intellectually curious, who enjoy solving problems.

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, age, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

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.


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