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:
- Design, develop, and implement quantitative models for linear and nonlinear interest-rate products, structured rates and hybrids for desk pricing and risk management.
- Build and enhance pricing and risk analytics, including curve construction and volatility cube calibration for trading and risk-management applications.
- Improvements of quant library build and regression test infrastructure (Python). Migrate Excel tools to Python.
- Implement, test and support changes to curves for Macro flow business.
- Deliver arbitrage free SABR with wing extension for risk management of swaptions and CMS.
- Develop and calibrate stochastic term structure models like single and multifactor Cheyette or Quadratic Gaussian in a multi-curve framework.
- Transition to new optimization-based curve engine.
- Deliver high-quality models and code, model documentation and testing.
- Production integration of models for daily PL, Risk, PL explains and into spreadsheet tools.
- Provide model support to the trading desk, including troubleshooting and enhancements.
- Partner effectively with Business Stakeholders, Sales & Trading, Technology, Model Validation and Project Management teams.
Required Qualifications:
- Experience in quantitative analytics for interest rate / macro products or equivalent.
- Experience in Securities Quantitative Analytics, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education.
Desired Qualifications:
- Strong hands-on coding experience in C++ and Python. Experience with Java is a plus.
- Deep understanding of derivative products and markets, particularly in interest rates or FX.
- 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.
- 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.
- Experience with optimization-based curve engine or designing hedge curve risk templates. Familiarity with instrument and index market conventions across developed or emerging markets.
- Proven experience working with Sales and Trading as a front office quant.
- Excellent verbal, written, and interpersonal communication skills.
- Master's or PhD in Mathematics, Physics, Engineering, Computational or Quantitative Finance or a related technical field.
Top Skills
What We Do
Wells Fargo & Company (NYSE: WFC) is a leading financial services company that has approximately $2.1 trillion in assets. We provide a diversified set of banking, investment and mortgage products and services, as well as consumer and commercial finance, through our four reportable operating segments: Consumer Banking and Lending, Commercial Banking, Corporate and Investment Banking, and Wealth & Investment Management. Wells Fargo ranked No. 33 on Fortune’s 2025 rankings of America’s largest corporations. Our technology professionals drive innovation, information security, and big data analytics while maintaining a network that handles more than 12 billion customer interactions a year. Join us! Are you looking for more? Find it here. At Wells Fargo, we're more than a financial services leader – we’re a global trailblazer committed to driving innovation, empowering communities, and helping our customers succeed. We believe that a meaningful career is much more than just a job – it’s about finding all of the elements to help you thrive, in one place. Living the Well Life means you’re supported in life, not just work. It means having robust benefits, competitive compensation, and programs designed to help you find work-life balance and well-being. You’ll be rewarded for investing in your community, celebrated for being your authentic self, and empowered to grow. And we’re recognized for it – Wells Fargo once again ranked in the top three – making us the #1 financial services employer – on the 2025 LinkedIn Top Companies list of best workplaces “to grow your career” in the U.S. 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. © 2026 Wells Fargo Bank, N.A. All rights reserved. Member FDIC.
Why Work With Us
We're known for our “Well Life” approach to supporting employees’ career aspirations, work-life balance, and mental and physical health. We ranked in the top 3 on the 2025 LinkedIn Top Companies list – and #1 among financial services companies – as the best workplace “to grow your career” in the U.S.
Gallery
Wells Fargo Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
