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Quantitative Modeling Manager
2 months ago
U.S. Bank is seeking a highly skilled Quantitative Modeling Manager to lead our team in developing and implementing advanced models for asset liability management and other related purposes.
The successful candidate will have a strong background in quantitative analysis and modeling, with experience in developing and implementing models in a banking or financial institution setting.
The Quantitative Modeling Manager will be responsible for:
- Developing and implementing advanced models for asset liability management and other related purposes
- Leading a team of analysts in the development and implementation of models
- Providing guidance and technical support to analysts
- Collaborating with other teams to ensure model accuracy and effectiveness
The ideal candidate will have a strong understanding of financial modeling techniques, including time series modeling and risk analysis. They will also have excellent communication and leadership skills, with the ability to explain complex modeling concepts to non-technical stakeholders.
U.S. Bank offers a comprehensive benefits package, including competitive salary, bonus, and stock options. The successful candidate will also have the opportunity to work with a talented team of professionals in a dynamic and fast-paced environment.
Requirements:
- Bachelor's degree in a quantitative field, such as mathematics, statistics, or economics
- 10+ years of experience in quantitative analysis and modeling in a banking or financial institution setting
- Strong background in financial modeling techniques, including time series modeling and risk analysis
- Excellent communication and leadership skills
Preferred Skills:
- Programming skills in languages such as Python, SQL, or R
- Experience with project management tools and techniques
- Knowledge of banking products and modeling techniques used in banking
U.S. Bank is an Equal Opportunity Employer:
U.S. Bank is committed to creating a diverse and inclusive workplace. We welcome applications from qualified candidates of all backgrounds and perspectives.