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
Job title
Vice President, Lead Securities Algorithmic Trader – Credit/Muni/SPG
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