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Lead Quantitative Analytics Specialist

https://www.wellsfargo.com/ Logo

Wells Fargo

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Location:
United States, Charlotte

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Category:
Finance

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Contract Type:
Employment contract

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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. This includes the assessment and mitigation of risk created by models throughout the model lifecycle including Development, Validation, Usage and Ongoing Monitoring. 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 (including derivatives and fixed income) transactions, as well as to measure the risk of possible economic loss from adverse changes in market risk factors such as equity and commodity prices, interest rates, credit spreads, foreign exchange rates, mortgage rates, market liquidity dynamics, or counterparty defaults. Markets MRM is also responsible for models specifically designed for electronic trading activities including signal models and order execution strategies.

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
  • 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 at financial institutions, software companies, teaching/research institutions, or other related entities
  • Familiarity with statistical data analysis and machine-leaning 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 are most relevant)
  • Knowledge of derivatives products (preferably Commodities/equity/FX) and fixed-income products
  • Strong experience as quantitative analyst of financial models
  • Experience with and fundamental understanding of Electronic and Algo trading
  • Excellent understanding of derivatives pricing theory and strong hands-on experience in development, validation or research in derivatives pricing models, volatility and/or curve and dividend models

Nice to have:

  • PhD in quantitative field
  • Relevant experience in model development, research, or validation
  • Familiarity with statistical data analysis and machine-leaning models
  • Knowledge of stochastic processes, stochastic calculus, Monte Carlo methods, numerical methods
  • Hands-on object-oriented coding experience
  • Knowledge of derivatives products and fixed-income products
  • Experience with and fundamental understanding of 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:
August 15, 2025

Expiration:
August 17, 2025

Employment Type:
Fulltime
Work Type:
Hybrid work
Job Link Share:
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