Senior Lead Quantitative Analytics Specialist

About this role:

Wells Fargo’s Model Risk Management (MRM) organization is seeking a highly qualified person to join its Decision Science and Artificial Intelligence (DSAI) Group as a Senior Lead Quantitative Analytics Specialist (SLQAS). The responsibilities of the DSAI Group include an end-to-end responsibility of managing the model risk over the model lifecycle including risk tiering, validation, and performance monitoring, etc.. In this specific position, the analyst shall focus on models built in house and by third parties primarily for the purpose of Financial Crimes, Fair Lending and other Compliance models.

MRM operates in a fast-paced work environment with continuously changing policies and technologies.  The successful candidate is expected:

• Lead end-to-end model risk management, including model validation, performance monitoring and governance for Financial Crimes, Fair Lending and other Compliance models.

• To be self- motivated, require minimal supervision, and produce work that is consistent with MRM’s recognized high standards.  

• To lead the validation projects and coach junior team members. 

• To be familiar with analytical data and sampling plans, various modeling frameworks, model replications, model performance assessments, test model development, model monitoring, and provide effective challenge to lines of business.  

• To develop reusable code and libraries to accelerate Financial Crimes model validation.

• To be practiced in writing detailed standard analytical reports to ensure Wells Fargo’s compliance with governance policies and regulations.

• To communicate with stakeholders, regulators, and auditors independently. 

• To be proficient with MRM framework and procedure. 

Required Qualifications:

• 7+ 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:

• A PhD in statistics, economics, computer science, optimization, electrical engineering, or a related quantitative discipline

• In-depth knowledge of ML methodologies such as ensemble algorithms, neural networks, supervised and unsupervised learning.

• In-depth knowledge of Financial Crimes, Fair Lending, and other Compliance models.

• Strong computing and programming background and knowledge of one or more languages such as Python and Java

• Experience with ML/AI computing platforms and tools 

• Ability to work with large datasets and some experience in database management and tools such as Hadoop, Spark and SQL

• Proficiency in software development

• Ability to take initiative and work independently in a structured environment.

• Excellent writing and communication skills for documentation and presentations to audiences of all technical backgrounds

• Strong conceptual and quantitative problem-solving skills and demonstrated ability to contribute independently; and

• Ability to work in cross-organizational projects and collaboratively with other groups.

Job Expectations:

• Ability to travel up to 5% of the time.

• This position offers a hybrid work schedule.

• Willingness to work onsite at stated location on the job posting.

Job Locations:

• Three Wells Fargo Center, 401 S Tryon St, CHARLOTTE, NC

Posting End Date: 

4 Sep 2025

*Job posting may come down early due to volume of applicants.

We Value Equal Opportunity

Wells Fargo is an equal opportunity employer. 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.

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, appropriat