In this role, you will:
- Participate in complex initiatives and identify opportunity for process improvements within Securities Quantitative Analytics
- Develop automated trading algorithms or create cutting-edge derivative pricing models and empirical models to provide insight into market behavior
- Combine mathematical programming and market expertise to build and generate systematic strategies
- Review and analyze basic business, operational, or technical assignments or challenges that require evaluation, and a selection of alternatives
- Exercise independent judgment to guide medium risk deliverables
- Use quantitative and technological techniques to solve complex business problems
- Present recommendations for resolving more complex situations
- Exercise independent judgment while developing expertise in the Securities Quantitative Analytics
- Collaborate and consult with colleagues, internal partners, and stakeholders
- Play an integral role to the trading floor
Required Qualifications:
- 2+ years of Securities Quantitative Analytics experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
Desired Qualifications:
- Experience in Derivative Pricing and good understanding of Securities product preferred.
- Python experience is a must.
- Model Validation, Model Documentation, Modeling, Testing.
- Minimum 3-6 Years of experience in Quant space.
Job Expectations:
- Education - IT / Engineering Degree / Data Science preferred
Wells Fargo Recruitment and Hiring Requirements:
b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.