Senior Quantitative Model Solutions Specialist

About this role:

Wells Fargo is seeking a Senior Quantitative Model Solutions Specialist

In this role, you will:

• Lead or participate in moderately complex model maintenance and optimization initiatives related to operating processes, controls, reporting, testing, implementation, and documentation
• Review and analyze moderately complex data sets, quantitative models, and model outputs to validate model efficiency and results in support of business initiatives
• Advise and guide team on moderately complex model optimization and processes strategies
• Independently resolve moderately complex issues and lead team to meet project deliverables while leveraging solid understanding of policies and compliance requirements
• Collaborate and consult with peers, colleagues, and managers to resolve issues and achieve goals

Required Qualifications:

• 4+ years of quantitative solutions engineering, model solutions or quantitative model operations experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education

Job Expectation:

• Experience withAI/ML frameworks(e.g., scikit-learn, TensorFlow, PyTorch) andGenAI tools(e.g., prompt engineering, LLM APIs, synthetic data generation).
• Hands-on experience with SQL Semantic layer platforms and Spark/PySpark for large data processing.
• Hands-on experience implementing data pipeline solutions using Apache Iceberg.
• Familiarity with different data catalogs available for Apache Iceberg (Hive, Hadoop, Nessie, REST) and their integration with data pipelines.
• Knowledge of partitioning, sorting, and distribution strategies to optimize read operations.
• Strong expertise in data engineering and analysis and ability to handle large volumes of data efficiently.
• Apply AI and GenAI techniques to enhance model development, data processing, and automation of risk and compliance workflows.
• Collaborate with cross-functional teams to integrate Python-based solutions and AI-driven insights into financial modeling and data engineering pipelines.
• Stay current with emerging technologies in AI/ML and GenAI to drive innovation in quantitative modeling practices.

Posting End Date:

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.

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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.