Vice President, QIS Structuring

Wells Fargo•New York, NY

3d•$185,000 - $300,000•Onsite

About The Position

Wells Fargo is seeking a Vice President to join its Equity Derivatives and QIS Structuring team within the Corporate & Investment Bank. The role designs, prices, markets, and transacts quantitative investment strategies (QIS) and derivatives products. It applies quantitative, programming, and product expertise to create investment solutions for diverse client needs and collaborates closely with teams across the business to support sales efforts. The position involves researching and developing strategies and index solutions across linear and non-linear markets, using derivatives, alternative data, and machine learning techniques. The Vice President partners with sales, trading, quantitative research, legal, compliance, technology, and clients to develop, implement, and execute customized solutions for institutional and retail distribution. The role also develops marketing and analytical materials, oversees systematic strategies and indices, builds Python tools, monitors performance, and supports QIS platform and infrastructure improvements. The role is based at 30 Hudson Yards, New York, NY 10001, and requires up to 10% travel. FINRA Series 7 and Series 63 registrations must be completed within 180 days of hire if not transferable at hire; recognized equivalents are accepted. The position is subject to FINRA and Dodd-Frank background screening and ongoing regulatory obligations.

Requirements

At least 5 years of Securities Sales Trading experience, or equivalent demonstrated through work experience, training, military experience, or education.
Complete FINRA Series 7 registration within 180 days of hire if it is not transferable at hire; FINRA-recognized equivalents are accepted.
Complete FINRA Series 63 registration within 180 days of hire if it is not transferable at hire; FINRA-recognized equivalents are accepted.
Successfully complete required pre-hire background screening and meet ongoing regulatory obligations.
Up to 10% travel.

Nice To Haves

Advanced degree, such as an M.S., in a quantitative discipline such as financial engineering, financial mathematics, statistics, or computer science.
At least 5 years of experience in quantitative investing, structuring, or trading, preferably focused on QIS or other systematic strategies, with a proven track record.
Hands-on experience applying alternative data and machine learning or statistical learning techniques to investment research and strategy development.
Strong Python proficiency for backtesting and QIS platform tool development.
Strong understanding of market structure and behavior, and ability to translate research insights into commercially relevant investments.
Experience with institutional and retail product distribution, including insurance/FIA, ETF issuers, and other retail channels.
Familiarity with equity volatility products, including variance swaps, dispersion, gamma, skew, and carry strategies.
Success creating QIS strategies that have been brought to market and actively traded.
Ability to collaborate across sales, trading, quantitative, 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, organization, and attention to detail.
Ability to collaborate with IT and drive technology and systems improvements for the business.

Responsibilities

Research, develop, and evaluate quantitative investment strategies and index solutions across linear and non-linear markets using derivatives, alternative data, and machine learning techniques.
Coordinate implementation with sales, trading, quantitative research, legal, compliance, and technology teams to support accurate and efficient execution.
Partner with sales teams and clients to design customized investment solutions for institutional and retail distribution channels.
Prepare marketing and presentation materials, market updates, and performance analyses; engage with sales teams and clients to present capabilities and originate business opportunities.
Document, maintain, and oversee systematic strategies and indices for investor use.
Build Python tools to support QIS index design and improve platform efficiency.
Monitor and analyze performance of systematic strategy offerings and provide insights and recommendations to clients and internal stakeholders.
Collaborate with IT and key stakeholders to advance QIS infrastructure, platform capabilities, technology systems, and operational efficiency.
Follow applicable risk, compliance, and regulatory requirements, including reporting and screening obligations.