Securities Quantitative Analytics Associate (#002143)
About The Position
Wells Fargo Bank N.A. seeks a Securities Quantitative Analytics Associate in Charlotte, NC. This role involves participating in initiatives and identifying opportunities for process improvements within Securities Quantitative Analytics. The associate will develop automated trading algorithms or create cutting-edge derivative pricing models and empirical models to provide insight into market behavior. They will combine mathematical programming and market expertise to build and generate systematic strategies. The role requires reviewing and analyzing basic business, operational, or technical assignments or challenges that require evaluation and selection of alternatives. The associate will exercise independent judgment to guide medium risk deliverables and use quantitative and technological techniques to solve complex business problems. Research will be conducted on trading cost models, liquidity models, risk models, portfolio construction methodology, and signal generation. Recommendations for resolving more complex situations will be presented. The associate will exercise independent judgment while developing expertise in Securities Quantitative Analytics, collaborate and consult with colleagues, internal partners, and stakeholders, and play an integral role to the trading floor.
Requirements
- Master's degree in Statistics, Mathematics, Physics, Engineering, Computer Science, Economics, or related quantitative discipline.
- PhD in Statistics, Mathematics, Physics, Engineering, Computer Science, Economics, or related quantitative discipline.
- 2 years of experience in the job offered or in a related securities quantitative analytics role.
- Zero (0) years of experience required (alternative experience).
- Experience in at least 4 of the following: Programming languages used for statistical analysis and data programming including C++, Java, Python; Linux and Unix Operating Systems; Stochastic Modeling, Optimization, Simulation, Computational Statistics, and Machine Learning; Statistical model development/validation; Documenting and presenting detailed model development and validation outcomes and results; Utilizing best modeling practices and methodologies in the areas of data processing, sampling, model design/specification, model performance assessment, and evaluation testing; Application of analytical, statistical, and forecasting methods with focus on the theory and mathematics behind the analyses; Working within the regulatory framework for financial institutions and interfacing with regulators and auditors.
Responsibilities
- Participate in initiatives and identify opportunities 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.
- Conduct research on trading cost models, liquidity models, risk models, portfolio construction methodology, and signal generation.
- 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.
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
