招聘
About this role:
Wells Fargo is looking for an exceptional Associate Quant to join our Front Office Interest Rates / Macro team. This is a unique opportunity to work at the intersection of cutting‑edge quantitative research, model development, and front‑office trading support.
In this role, you’ll help design and implement advanced models used for risk management, pricing, and trading across a range of interest rate products — from linear and non‑linear rates to structured products and IR/FX hybrids. You’ll work with sophisticated modelling frameworks including SABR, Cheyette, and Quadratic Gaussian models, with a strong focus on term‑structure and volatility modeling.
You’ll also play a key part in a strategic initiative to build next‑generation, cross‑asset models integrated into a unified quantitative risk and trading platform. Expect close collaboration with traders, technology partners, and fellow quants across the organization.
If you're passionate about quantitative finance, solving complex modeling challenges, and want to work in a dynamic front‑office environment we want to hear from you.
In this role you will:
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Design, develop, and implement quantitative models for linear and nonlinear interest‑rate products, structured rates and hybrids for desk pricing and risk management.
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Build and enhance pricing and risk analytics, including curve construction and volatility cube calibration for trading and risk‑management applications.
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Improvements of quant library build and regression test infrastructure (Python). Migrate Excel tools to Python.
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Implement, test and support changes to curves for Macro flow business.
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Deliver arbitrage free SABR with wing extension for risk management of swaptions and CMS.
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Develop and calibrate stochastic term structure models like single and multifactor Cheyette or Quadratic Gaussian in a multi-curve framework.
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Transition to new optimization-based curve engine.
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Deliver high-quality models and code, model documentation and testing.
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Production integration of models for daily PL, Risk, PL explains and into spreadsheet tools.
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Provide model support to the trading desk, including troubleshooting and enhancements.
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Partner effectively with Business Stakeholders, Sales & Trading, Technology, Model Validation and Project Management teams.
Required Qualifications:
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Experience in quantitative analytics for interest rate / macro products or equivalent.
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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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Strong hands-on coding experience in C++ and Python. Experience with Java is a plus.
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Deep understanding of derivative products and markets, particularly in interest rates or FX.
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Experience with modeling, calibration, risk management and pricing of linear and structured rates products: swaps, rates and bond futures, swaptions including non standard (zero coupon, accreters), cap/floor, Bermudan callables, CMS, CMS spread, range accrual, cross currency swaps, inflation and hybrids.
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Expertise in term structure modeling, stochastic funding and volatility modeling, including SABR, Cheyette, Quadratic Gaussian, and related frameworks (LGM, BGM, HW model) for single and cross currency.
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Experience with optimization‑based curve engine or designing hedge curve risk templates. Familiarity with instrument and index market conventions across developed or emerging markets.
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Proven experience working with Sales and Trading as a front office quant.
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Excellent verbal, written, and interpersonal communication skills.
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Master's or PhD in Mathematics, Physics, Engineering, Computational or Quantitative Finance or a related technical field.
Posting End Date:
12 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%
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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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