Quantitative Model Solutions Specialist
This role focuses on assisting with low-to-moderate complexity model maintenance, validation, and optimization for Wells Fargo’s operational processes, requiring hands-on support in testing, documentation, and basic data analysis. The specialist will collaborate closely with cross-functional teams to resolve issues while gradually building expertise in quantitative model operations.
Skills required
About this role
About this role:
Wells Fargo is seeking a Quantitative Model Solutions Specialist
In this role, you will:
- Participate in or help entry-level positions with low to moderately complex model maintenance and optimization initiatives related to operational processes, controls, reporting, testing, implementation, and documentation
- Analyze basic data sets, quantitative models, and model output to validate model efficiency and results in support of business opportunities
- Provide design thinking and best practices to resolve basic model optimization methodology and processes
- Present recommendations to leadership for resolving low to moderately complex situations by exercising independent judgment while developing expertise in quantitative model operations
- Collaborate and consult with peers, colleagues, and managers to resolve issues and achieve goals
Required Qualifications:
- 2+ years of quantitative model solutions or quantitative model operations experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
Desired Qualifications:
- 2+ years of experience in working on database management and/or implementation of models/strategies with a strong understanding of the business
- Exposure to working in Big Data Platforms like Hive, Spark, Hadoop, Cloudera, AWS, and so on.
- Bachelor’s degree in engineering in any field
- Proficient in Python or R
- Proficient in Tableau, Power BI, or any of business intelligence tools
- Experience in producing high quality technical documentation with tools such as Excel. Word, and PowerPoint
- Excellent verbal and communication skills
- Advanced degree in statistics, finance, math, engineering or similar quantitative disciplines
- Good Python skills in performing complex data manipulation and modelling in Python
- Excellent analytical ability in interpreting data, analytical results to draw insights to develop credit scoring models and help business manage the credit risk effectively
- Familiarity with U.S based Bureau Data
- Excellent problem-solving skills and ability to connect dots, see big picture and find solutions and articulate in a clear manner
- Understanding of process, methodologies used in credit scoring model development, implementation, validation, and monitoring
- Ability to effectively manage multiple assignments with challenging timelines
- Experience in statistical modelling techniques
- Strong writing skills necessary for the review of highly detailed model documentation and reporting
- Flexibility and ability to thrive in a fast-paced, rapidly changing, highly complex environment
- Work on data management across all portfolios required for modelling purposes
- Creating dashboards for reporting and controls purposes
- Coordinating the various activities related to business analysis and modelling
- Work on implementation of models doing UAT, and post implementation validation
- Develop methods to enhance the existing process to add efficiency, transparency and consistency while maintaining quality and responsiveness standards
- Trouble-shoot issues and pro-actively enact solutions in real time
Posting End Date:
22 Sep 2026*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, 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 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.
