About this role:

Wells Fargo is seeking a highly skilled and experienced Executive Director to join our Equity Derivatives and QIS Structuring team. This role involves designing, pricing, marketing, and transacting a range of Quantitative Investment Strategies (7QIS8), 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.

In this role, you will:

• 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.
• Mentor and develop junior team members, fostering a culture of excellence, innovation, and client-centricity.
• Monitor and analyze performance across the firms systematic strategy offerings, providing insights and recommendations to clients and internal stakeholders.

Required Qualifications:

• 7+ years of Securities Sales Trading experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
• 3+ years of management or leadership experience

Desired Qualifications:

• Advanced degree (e.g., M.S.) in a quantitative discipline such as financial engineering, financial mathematics, statistics, or computer science.
• 7+ 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. 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.

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.

Posting End Date:

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