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Hybrid Vice President, Lead Securities Algorithmic Trader – Credit/Muni/SPG
Posted 3 months ago
About the role
- Lead Securities Algorithmic Trader at Wells Fargo managing electronic trading algorithms for financial securities. Collaborating on algorithmic trading initiatives using high-frequency trading technology and mathematical models.
Responsibilities
- Lead complex initiatives to resolve algorithmic trading using high-frequency trading technology with broad impact
- Act as key participant in developing, implementing, and monitoring risk based programs to recommend decisions to buy or sell financial securities on an exchange for Securities Algorithmic Trading
- Review and analyze complex formulas, combined with mathematical models and human oversight that require in-depth evaluation of multiple factors including the use of process and rules based algorithms to employ strategies for executing trades
- Make decisions in complex and multi-faceted situations requiring understanding of the function, policies, procedures and compliance requirements that influence and lead broader work team to meet deliverables and drive new initiatives
- Collaborate and consult with peers, colleagues and mid-level to more experienced managers to resolve issues and achieve goals
Requirements
- 5+ years of Securities Algorithmic Trading experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
- Strong academic background in an analytical field such as Mathematics, Physics, Engineering, Computer Science, Quantitative Finance, etc.
- Strong statistical background.
- Proven ability to analyze large datasets, build models, and draw commercial conclusions.
- Ability to develop and deliver production code.
- Familiarity with Java and Python strongly preferred, but alternative languages are acceptable.
- Ability to communicate and work collaboratively with traders and other groups in the firm.
- Experience designing and building systematic/algorithmic trading systems, particularly market-making systems in the fixed income space.
- Familiarity with fixed-income markets.
- Experience building machine-learning models.
- Experience collaborating on a large-scale, enterprise codebase.
- Experience working with large-scale datasets in Python.
- Experience with Unix and basic shell scripting.
- Demonstrated familiarity developing a safe environment using controls, testing, and resiliency, particularly around electronic trading.
Benefits
- Health benefits
- 401(k) Plan
- Paid time off
- Disability benefits
- Life insurance, critical illness insurance, and accident insurance
- Parental leave
- Critical caregiving leave
- Discounts and savings
- Commuter benefits
- Tuition reimbursement
- Scholarships for dependent children
- Adoption reimbursement
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