Front Office Rates Quant - ML/AI Specialist - Predictive Intelligence Time Series Modeling

Wells Fargo Bank•New York, NY

5d•$185,000 - $300,000

About The Position

Corporate & Investment Bank (CIB) delivers a comprehensive suite of banking, capital markets and advisory solutions, including a full complement of sales, trading and research capabilities, to corporate, government and institutional clients. We focus on our clients' overall financial needs, with consideration and respect for their total relationship with Wells Fargo. 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:

Requirements

5+ years of Securities Quantitative Analytics experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education

Nice To Haves

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.

Responsibilities

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.