Lead Quantitative Analytics Specialist, Wells Fargo

Wells Fargo

Location:
United States, Charlotte ▼
Minneapolis

Category:
Finance

Contract Type:
Employment contract

Salary:

144400.00 - 300000.00 USD / Year

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Job Description:

The Model Risk Management team is responsible for end-to-end oversight and risk management of models used across the enterprise. Markets division of MRM is responsible for the validation, performance monitoring and oversight of models used in trading, market and counterparty risk management. These models are used to price and hedge trading transactions, as well as to measure the risk of possible economic loss due to changes in market risk factors. The position requires an inquisitive mindset, ability to analyze comprehensive testing, challenge modeling choices, and work within a diverse coverage team.

Job Responsibility:

Perform model validations and clearly documenting narrative of validation perspective
provide effective challenge to models developed in the lines of business (LOB)
develop alternative benchmarking models or replicating LOB models
reduce model risk to meet or exceed regulatory and industry standards
identify conceptual weaknesses in a model and understanding tradeoffs with other approaches
communicate model issues and limitations to key stakeholders
contribute to improvement of model building and use practices
provide leadership and consultation to less experienced validators
provide analytical support and offering insights regarding a wide array of business initiatives
interact with senior management and regulators on key modeling issues, including the identification, management and mitigation of model risk
communicate to different audiences (other technical staff, senior management and regulators) both verbally and in writing
manage relationships with key model stakeholders

Requirements:

5+ years of Quantitative Analytics experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
Master's degree or higher in a quantitative discipline such as mathematics, statistics, engineering, physics, economics, or computer science

Nice to have:

PhD in quantitative field such as Mathematics, Statistics, Engineering, Physics, Economics or Computer Science
relevant experience in model development, research, or validation in the areas of electronic trading, financial derivatives, market risk, or counterparty credit risk
familiarity with statistical data analysis and machine-learning models
knowledge of stochastic processes, stochastic calculus, Monte Carlo methods, numerical methods (finite differences, optimization)
hands-on object-oriented coding experience (Python, C++ and Java)
knowledge of derivatives products (preferably Commodities/equity/FX) and fixed-income products
strong experience as quantitative analyst of financial models
experience with electronic and algo trading
excellent understanding of derivatives pricing theory

What we offer:

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

Additional Information:

Job Posted:
May 30, 2025

Expiration:
June 08, 2025

Employment Type:

Fulltime

Work Type:

Hybrid work

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Lead Quantitative Analytics Specialist