Wells Fargo Front Office Quant - ML/AI Specialist 

United States, New York, New York 

729111808

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+ yearsin 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 is a strong plus
• 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.
• Extensive hands-on programming experience in C++, Python, and Java.

Keywords:

• Rates, model, quant, machine learning, automated intelligence, derivatives, trade, time series, automation, predictive modelling

Pay Range

Wells Fargo Recruitment and Hiring Requirements:

b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.