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You’ll play a critical role in shaping how data science informs Treasury operations, liquidity planning, risk management, and financial forecasting. This role requires conducing in-depth analysis of product portfolios, identifying gaps, and providing insights on complementary products or services to customers to enhance Treasury-related business relationships.
In this role you will:
Lead the design and implementation of complex initiatives and deliverables by utilizing data driven solutions, advanced analytics models, statistical technique and algorithms.
Partner and consult with business leaders to understand strategic goals and translate them into data science initiatives.
Mentor and guide a small team of data scientists and analytic consultants, fostering a collaborative and high-performance culture.
Develop and maintain robust forecasting models using time series analysis, regression, and machine learning techniques.
Ensure data quality, model accuracy, and reproducibility through rigorous validation and documentation.
Communicate insights and recommendations clearly to both technical and non-technical stakeholders.
Collaborate with data engineering and IT teams to ensure scalable and secure deployment of analytics solutions.
Enforce and establish best practices related to data quality and governance.
Required Qualifications:
5+ years of data science experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
5+ years of hands-on programming using SQL
5+ years of Python experience
1+ years of experience in a leadership or mentorship role
Must have completed a Master's degree level or higher in a quantitative discipline such as mathematics, statistics, engineering, physics, economics, Business Analytics, or computer science
Desired Qualifications:
Strong understanding of banking products and services, including Treasury/Transaction Services
Knowledge of cloud platforms (e.g., AWS, Azure) and data visualization tools (e.g., Power BI, Tableau).
Exposure to MLOps practices and model deployment pipelines.
Job Expectations:
This role will be required to work on-site. Candidates outside of commuting distance to must be willing to relocate.
Pay Range
Wells Fargo provides eligible employees with a comprehensive set of benefits, many of which are listed below. Visit for an overview of the following benefit plans and programs offered to employees.
Wells Fargo Recruitment and Hiring Requirements:
b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.
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