Lead Quantitative Model Solutions Specialist

About this role: Wells Fargo is seeking a Lead Quantitative Model Solutions Specialist In this role, you will: Lead complex, large-scale model maintenance, optimization, and planning initiatives related to operational processes, controls, reporting, testing, implementation, and documentation Review and analyze complex multi-faceted model operations and optimization challenges that require in-depth evaluation of multiple factors including intangibles or unprecedented factors  Develop model processes and optimization strategies for short- and long-term objectives; support and provide insights regarding a wide array of business initiatives Make decisions in complex and multi-faceted situations requiring solid understanding of agile development Influence global assessment of model maintenance schedules inclusive of engineering, structure, and scope of review following the System Development Life Cycle process, quality, security, and compliance requirements Strategically collaborate and consult with peers, colleagues, and managers to resolve issues and achieve goals Required Qualifications: 5+ 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 Skills: 5+ 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 modeling 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 modeling techniques Strong writing skills necessary for the review of highly detailed model documentation and reporting Posting End Date:   23 Aug 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