Vice President, QIS Structuring

About the role

This role involves designing, pricing, marketing, and transacting a range of Quantitative Investment Strategies ("QIS"), derivatives products. The successful candidate will leverage quantitative and programming and product expertise to design investment solutions that address diverse client needs, while closely collaborating with various teams to support sales efforts.

Responsibilities

• Research, develop, and evaluate new quantitative investment strategies, index solutions across linear and non-linear markets, leveraging derivatives, alternative data, and machine learning techniques.
• Implement strategies in close coordination with sales, trading, quantitative research, legal, compliance and technology teams to ensure accurate, efficient execution.
• Partner with sales teams and clients to design customized investment solutions for both institutional and retail distribution channels.
• Prepare marketing/presentation materials, market updates, performance analyses and engage with sales teams and clients to showcase capabilities and originate new business opportunities.
• Document, maintain, and oversee systematic strategies and indices for investor use.
• Build tools, using Python, to support QIS index design and improve platform efficiency.
• Monitor and analyze performance across the firm's systematic strategy offerings, providing insights and recommendations to clients and internal stakeholders.

Requirements

• 5+ years of Securities Sales Trading experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
• Advanced degree (e.g., M.S.) in a quantitative discipline such as financial engineering, financial mathematics, statistics, or computer science.
• 5+ years experience in quantitative investing, structuring, or trading, preferably with a focus on QIS or other systematic strategies with a proven track record.
• Demonstrated hands-on experience applying alternative data and machine learning or statistical learning techniques to investment research and strategy development.
• Strong proficiency in Python to conduct backtests and tool development for QIS platform.
• Strong understanding of market structure and market behavior, with the ability to translate research insights into commercially relevant investment.
• Experience working across institutional and retail product distribution, including familiarity with insurance/FIA, ETF issuers and other retail channels.
• Familiarity with equity volatility products, including variance swaps, dispersion, gamma, skew, and carry strategies.
• Demonstrated success in creating QIS strategies that have been effectively brought to market and actively traded.
• Ability to collaborate effectively across sales, trading, quants, and legal teams to bring products from concept through execution.
• Strong understanding of product lifecycle management, including pricing, risk assessment, and performance monitoring.
• Excellent communication and presentation skills, with strong organization and attention to detail.
• Ability to collaborate with IT to build out broader QIS infrastructure.

Desired Qualifications

• Ability to drive the technology and systems agenda for the business, partnering with key stakeholders to enhance platform capabilities and operational efficiency.

Job Expectations

• Up to 10% travel
• Registration for FINRA Series 7 must be completed within 180 days of hire date if it is not available for transfer upon hire. FINRA recognized equivalents will be accepted.
• Registration for FINRA Series 63 must be completed within 180 days of hire date if it is not available for transfer upon hire. FINRA recognized equivalents will be accepted.
• This position is subject to FINRA background screening requirements. Candidates must successfully complete and pass a background check prior to hire.
• In accordance with FINRA rules, individuals who are subject to statutory disqualification are not eligible to be associated with a FINRA-registered broker-dealer. Successful candidates must also meet and comply with ongoing regulatory obligations, which include periodic screening and mandatory reporting of certain incidents.
• Posting Location: 30 Hudson Yards, New York, NY 10001
• Pay Range Reflected is the base pay range offered for this position. Pay may vary depending on factors including but not limited to demonstrated examples of prior performance, skills, experience, or work location. Employees may also be eligible for incentive opportunities. $185,000.00 - $300,000.00

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

Posting End Date

30 Jul 2026

Job posting may come down early due to volume of applicants.

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Wells Fargo Recruitment And Hiring Requirements

Third-Party recordings are prohibited unless authorized by Wells Fargo.