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

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:

• 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,

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.
$185,000.00 - $300,000.00
Benefits
Wells Fargo provides eligible employees with a comprehensive set of benefits, many of which are listed below. Visit Benefits - Wells Fargo Jobs for an overview of the following benefit plans and programs offered to employees.

• Health benefits
• 401(k) Plan
• Paid time off
• Disability benefits
• Life insurance, critical illness insurance, and accident insurance
• Parental leave
• Critical caregiving leave
• Discounts and savings
• Commuter benefits
• Tuition reimbursement
• Scholarships for dependent children
• Adoption reimbursement

Posting End Date:
20 Mar 2026
* Job posting may come down early due to volume of applicants.
We Value Equal Opportunity
Wells Fargo is an equal opportunity employer. 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.
Employees support our focus on building strong customer relationships balanced with a strong risk mitigating and compliance-driven culture which firmly establishes those disciplines as critical to the success of our customers and company. They are accountable for execution of all applicable risk programs (Credit, Market, Financial Crimes, Operational, Regulatory Compliance), which includes effectively following and adhering to applicable Wells Fargo policies and procedures, appropriately fulfilling risk and compliance obligations, timely and effective escalation and remediation of issues, and making sound risk decisions. There is emphasis on proactive monitoring, governance, risk identification and escalation, as well as making sound risk decisions commensurate with the business unit's risk appetite and all risk and compliance program requirements.
Applicants with Disabilities
To request a medical accommodation during the application or interview process, visit Disability Inclusion at Wells Fargo .
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Wells Fargo maintains a drug free workplace. Please see our Drug and Alcohol Policy to learn more.
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