In this role, you will:
- Combine mathematical and programming skills as well as market expertise to support/build equity derivatives models/pricers for the desk’s use, and help generate systematic strategies
- Use quantitative and technological techniques to solve complex business problems
- Lead or participate in complex initiatives and deliverables within Securities Quantitative Analytics
- Conduct research on improved PnL attribution, trading cost models, liquidity models, risk models, portfolio construction methodology, and signal generation
- Review and analyze complex business, operational, or technical challenges within Securities Quantitative Analytics that require an in-depth evaluation of variable factors
- Resolve moderately complex issues independently
- Lead team to meet deliverables while leveraging solid understanding of Securities Quantitative Analytics policies, procedures, and compliance requirements
- Collaborate and consult with peers, colleagues, and mid-level managers to resolve issues and achieve goals
- Lead projects, teams, or serve as a mentor for less experienced staff
- Play an integral role to the trading floor
- Contribute to large-scale departmental planning
Required Qualifications:
- 5+ 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:
- An advanced degree such as Masters or PhD in aquantitative/computingdiscipline, eg Mathematics, Physics, Statistics, Computer Science, or similar.
- Front office Derivatives Quant modeling experience, or comparable buy-side quantitative experience in derivatives modeling (preferably in Equity Derivatives).
- Applied knowledge and understanding of stochastic calculus, stochastic processes, and derivatives valuation (preferably as used in Equity Derivatives modeling).
- Applied knowledge and understanding of derivative products numerical solution methods such as binomial trees, Monte Carlo, and finite difference methods.
- Applied knowledge/experience in C++ and coding in a model library environment with multiple contributors.
- Applied knowledge/experience in Python.
- Good verbal, written, interpersonal communication skills, and rapid synthesis of information.
- Highly driven to take ownership of projects from start to finish.
Pay Range
$144,400.00 - $300,000.00
future. Visitfor an overview of the following benefit plans and programs offered to employees.
- 401(k) Plan
- Paid Time Off
- Parental Leave
- Critical Caregiving Leave
- Discounts and Savings
- Health Benefits
- Commuter Benefits
- Tuition Reimbursement
- Scholarships for dependent children
- Adoption Reimbursement
23 Aug 2024
Wells Fargo Recruitment and Hiring Requirements:
b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.