Wells Fargo & Company

Lead Securities Quant Analytics Specialist- Investment Portfolio Financial Engineer

CHARLOTTE, NC Full time

About this role:

Wells Fargo is seeking a Lead Securities Quantitative Analytics Specialist (Vice President) to join the Mortgage Modeling Development Center within the Investment Portfolio. 

The Lead Securities Quant will be responsible for developing Asset Liability Management models for the Investment Portfolio, with a focus on Juniper Vasara ALM development. Vasara is the next generation risk platform for the bank. It is an ambitious, green field initiative to tackle the bank's risk computation challenges within capital markets, from ticking risk for trading desks to market risk and capital calculations such as FRTB and CCAR.

Essential duties and responsibilities include:

  • Develop models to calculate various ALM metrics – NII, interest rate risk, liquidity risk, etc
  • Conduct forecasting and net interest margin analysis.  
  • Integration of pricing and risk analytics in collaboration with other quant teams relate to ALM.
  • Effective communication and collaboration with Business Stakeholders, other Quant Teams, Technology Partners, and Project Management

In this role you will:

  • Lead complex initiatives with broad impact and act as key participant in large-scale planning for Securities Quantitative Analytics
  • Lead the strategy, implementation, and resolution of highly complex and unique challenges requiring in-depth evaluation across multiple areas companywide
  • Deliver solutions that are long-term, large-scale and require vision, creativity, innovation, advanced analytical and inductive thinking, and coordination of highly complex activities and guidance to others
  • Use quantitative and technological techniques to solve complex business problems
  • Work constructively in collaboration with business, model development, model validation, and information technology

Required Qualifications:

  • 5+ years of Securities Quantitative Analytics experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
  • 1+ years of Python 3 experience

Desired Qualifications:

  • A master's degree or PhD in a quantitative discipline 
  • 3+ years of hands-on coding experience, Python 3 is most relevant
  • 3+ years of product and market experience in various asset classes: rates, foreign exchange, credit, and mortgages, and structured products
  • 3+ years of quantitative analytics development and support experience in a buy-side or sell-side institution or a quant solution vendor
  • Expert working knowledge in ALM framework and concepts
  • Experience using ALM systems (QRM, Polypaths, etc)
  • Experience with numerical and scientific computing libraries such as NumPy, pandas, SciPy, and PyTorch or TensorFlow
  • 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 
  • Experience in or passionate about Machine Learning and Agentic AI

Job Expectations:

  • Ability to travel up to 10% of the time
  • This position is eligible for Visa sponsorship
  • Must be able to work on-site

Location: 

  • 550 S Tryon St, Charlotte, NC
  • 150 E 42nd St, New York, NY

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:

26 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.

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.