Securities Quantitative Analytics Associate

Wells Fargo Corporate & Investment Banking delivers a comprehensive suite of capital markets, banking, and financial products and services. A trusted partner to our clients, we provide corporate and transactional banking, commercial real estate lending and servicing, investment banking, equity and fixed income solutions including sales, trading, and research capabilities to corporate, commercial real estate, government, and institutional clients across the globe. Learn more about the career areas and lines of business at wellsfargojobs.com.

About this role:

Wells Fargo is seeking a Securities Quantitative Analytics Associate to join our Structured Products Group. This opportunity focuses on data analysis and data tool creation to support trading management in reporting and decision making. The ideal candidate will bring deep expertise in CMBS/ABS/RMBS valuation, mortgage pricing and risk modeling, and architectural frameworks such as OAS. A strong background in Python and other programming languages is a must in addition to proven markets expertise (CMO Structuring, Desk Quant/ Strat support, etc).

In this role, you will:

• Serve as a strategic partner to senior leadership, shaping objectives, plans, and long-term goals across SPG
• Support the design and implementation of innovative, large-scale solutions to complex business and technical challenges
• Apply advanced quantitative and technological techniques to solve high-impact problems
• Develop cutting-edge tools to gain insights into market behavior
• Collaborate cross-functionally with business partners, model development, model validation, market risk, and IT teams
• Play an integral role to the trading floor

Required Qualifications:

• 2+ 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:

• A Master’s degree or PhD in a quantitative discipline
• Strong proficiency in Python, including libraries such as Pandas, Polars, PyArrow, and experience with DuckDB or similar tools
• Deep experience with SQL and relational databases
• Experience supporting a Wall Street trading desk in a mortgage development environment
• Familiarity with reverse engineering collateralized mortgage obligations, or other structured products
• Familiarity with mortgage pricing models and Value at Risk (VaR) frameworks (lower emphasis)
• Understanding of profit and loss attribution systems (lower emphasis)
• Experience designing and building architectural frameworks used for testing and monitoring
• Experience using valuation/risk management systems (e.g., QRM, Bloomberg, Yield Book, PolyPaths)
• Experience developing robust data outlier surveillance and detection systems
• Excellent analytical, interpersonal, oral and written communication skills with a strong attention to detail across multiple audiences (Technology, Quants, Senior Management)
• Ability to work through business challenges consistently, effectively, with a sense of urgency through collaboration, transparency, and leading to results
• Self-motivated with a working knowledge of risk management fundamentals and policy creation

Job Expectations:

• 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.
• 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.
• Visa sponsorship is not available

Posting Location:

• 500 West 33rd St. - New York, New York 10001

Pay Range
 

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