Front Office Rates Quant - ML/AI Specialist - Predictive Intelligence Time Series Modeling
Markets provides solutions to clients with the means to manage their exposure through various derivatives, lending and cash products across Structured Products Group, Rates, Equities, Foreign Exchange, Municipal Products Group, Credit Sales & Trading.
About this role:
Our Corporate & Investment Banking Front Office Quantitative Model Development Team is working on a strategic buildout initiative. This strategic initiative will enhance our ability to partner and deliver excellent quality and service to our trading and sales partners as our platform continues to grow.
We are seeking a highly skilled and polished ML/AI (Machine Learning/ Automated Intelligence) Specialist as a Vice President to join our team, driving innovation through advanced analytics and intelligent systems. This role is ideal for someone passionate about predictive intelligence and time-aware modeling, with a strong foundation in time series analysis, statistical learning, financial modeling and automation.
In this role, you will:
- Develop and maintain AI-powered forecasting models and pattern discovery frameworks
- Apply statistical learning, machine learning, and artificial intelligence techniques to extract insights from complex datasets.
- Build smart models and time-aware algorithms that adapt to dynamic environments
- Leverage computational intelligence for time series modeling and predictive analytics
- Collaborate across teams to integrate learning machines into business processes.
Required Qualifications, US:
- 5+ years of Securities Quantitative Analytics experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
Desired Qualifications:
- 5+ years in quantitative finance, particularly in rates derivatives modeling and implementation.
- Familiarity with pricing models, risk analytics, and financial instrument behavior under various market conditions.
- Exposure to cross-asset model integration and curve construction a plus
- Extensive hands-on programming experience in C++, Python, and Java.
- Advanced academic credentials including a Ph.D. in a quantitative discipline such as computer science, statistics, applied mathematics, or physics, or a Master's in financial mathematics. Candidates should have a strong foundation in machine learning and artificial intelligence demonstrated through research, publications, or enterprise-scale applications.
- Demonstrated success in building, deploying, and maintaining scalable ML/AI models in production environments. Proficiency in managing the full model lifecycle including training, validation, deployment, monitoring, and documentation.
- Proven ability to communicate complex ML/AI concepts clearly to both technical and non-technical audiences.
- Experience collaborating across functions-such as trading desks, risk oversight, and model governance-to align technical solutions with strategic and regulatory goals.
Job Expectations:
- 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.
- Specific compliance policies may apply regarding outside activities or personal investing; affected employees will be expected to provide information to the Wells Fargo Personal Account Dealing Team and abide by applicable policy requirements if hired. Information will be shared about expectations during the recruitment process.
- Keywords: Rates, model, quant, machine learning, automated intelligence, derivatives, trade, time series, automation, predictive modelling,
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Wells Fargo & Company (NYSE: WFC) is a leading financial services company that has approximately $2.1 trillion in assets. We provide a diversified set of banking, investment and mortgage products and services, as well as consumer and commercial finance, through our four reportable operating segments: Consumer Banking and Lending, Commercial Banking, Corporate and Investment Banking, and Wealth & Investment Management. Wells Fargo ranked No. 33 on Fortune’s 2025 rankings of America’s largest corporations. Our technology professionals drive innovation, information security, and big data analytics while maintaining a network that handles more than 12 billion customer interactions a year. Join us! Are you looking for more? Find it here. At Wells Fargo, we're more than a financial services leader – we’re a global trailblazer committed to driving innovation, empowering communities, and helping our customers succeed. We believe that a meaningful career is much more than just a job – it’s about finding all of the elements to help you thrive, in one place. Living the Well Life means you’re supported in life, not just work. It means having robust benefits, competitive compensation, and programs designed to help you find work-life balance and well-being. You’ll be rewarded for investing in your community, celebrated for being your authentic self, and empowered to grow. And we’re recognized for it – Wells Fargo once again ranked in the top three – making us the #1 financial services employer – on the 2025 LinkedIn Top Companies list of best workplaces “to grow your career” in the U.S. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other legally protected characteristic. © 2026 Wells Fargo Bank, N.A. All rights reserved. Member FDIC.
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