Jobs
About this role:
Wells Fargo is seeking a Front Office Equities Quant – Vice President to join the Corporate & Investment Banking (CIB) division within our Global Markets business.
As part of the Front Office Quantitative Model Development team, this role contributes to a multi‑year strategic buildout designed to strengthen our quantitative capabilities and enhance the support we provide to our trading and sales partners across Global Markets.
The selected candidate will join a high‑impact team responsible for designing, developing, and implementing quantitative models and analytical tools that support Equities trading, pricing, and risk management. Key focus areas include forecasting, optimization, and risk mitigation. This work is a core component of a strategic initiative to deliver next‑generation models integrated into a comprehensive cross‑asset quantitative risk and trading platform.
Although the role will sit within the Front Office Equities group, the models and tools developed will be designed for integration across the broader Corporate & Investment Banking organization, supporting alignment and consistency across asset classes.
In this role, you will:
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Proactively participate in the design, development, and implementation of quantitative models for equities risk management, trading strategies, and pricing of equity derivatives products within an Agile environment.
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Contribute to the development, integration, and deployment of optimization-based curve construction, collaborating with other Quants to provide expertise in software design, implementation, and performance optimization.
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Apply quantitative and advanced technologies to solve complex business problems related to equities trading and risk, ensuring solutions are robust and well-documented.
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Collaborate and consult with Business Stakeholders, other Quant Teams, Technology, and Project Management to effectively communicate model details, resolve issues, and achieve project goals.
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Deliver high-quality software and documentation following standardized planning and Agile-based SDLC processes, ensuring models are well-supported and maintainable.
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Support the trading desk by addressing questions about deployed models and providing insights into model behavior.
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Meet deliverables while adhering to policies, procedures, and compliance requirements related to model risk management and regulatory standards.
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Contribute to large-scale project planning, balancing short-term objectives with long-term strategic goals for the quantitative modeling framework.
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Effectively communicate with and build consensus with all project stakeholders, ensuring alignment on model development and deployment strategies.
Required Qualifications:
- Experience in Securities Quantitative Analytics, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education.
Desired Qualifications:
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Hands-on coding experience, C++ and Java are most relevant, with an emphasis on numerical optimization.
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Experience of derivative products and market experience in one or more of the following areas: rates and foreign exchange.
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Excellent verbal, written, and interpersonal communication skills.
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Experience with volatility surfaces, rate, borrow and dividend curves, ideally in C++.
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Experience with Sales and Trading partners as a front office quant.
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PhD degree or equivalent in computer science, computational finance or mathematics.
Job Expectations:
- Ability to work outside of regular business hours.
Posting End Date:
19 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.
Candidates applying to job openings posted in Canada: Applications for employment are encouraged from all qualified candidates, including women, persons with disabilities, aboriginal peoples and visible minorities. Accommodation for applicants with disabilities is available upon request in connection with the recruitment process.
Applicants with Disabilities
To request a medical accommodation during the application or interview process, visit Disability Inclusion at Wells Fargo.
Drug and Alcohol Policy
Wells Fargo maintains a drug free workplace. Please see our Drug and Alcohol Policy to learn more.
Wells Fargo Recruitment and Hiring Requirements:
a. Third-Party recordings are prohibited unless authorized by Wells Fargo.
b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.
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About Wells Fargo

Wells Fargo
PublicWells Fargo & Company is an American multinational financial services company. The company operates in 35 countries and serves more than 70 million customers worldwide.
10,001+
Employees
San Francisco
Headquarters
Reviews
3.6
32 reviews
Work Life Balance
3.4
Compensation
4.4
Culture
3.5
Career
3.8
Management
3.2
78%
Recommend to a Friend
Pros
Job stability and career progression
Excellent compensation and bonus structure
Good benefits and retirement packages
Cons
Hierarchical culture can slow decision-making
High-pressure environment with strict deadlines
Long working hours, especially during busy periods
Salary Ranges
0 data points
Junior/L3
L3
L4
L5
Mid/L4
Principal/L7
Senior/L5
Staff/L6
Junior/L3 · Data Scientist L1
0 reports
$128,533
total / year
Base
-
Stock
-
Bonus
-
$109,253
$147,813
Interview Experience
4 interviews
Difficulty
2.8
/ 5
Duration
21-35 weeks
Offer Rate
75%
Interview Process
1
Phone Screen
2
Final Round
3
Online Assessment
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