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Lead Quantitative Analytics Specialist - Model Validation - Markets Division: Commodities and Equities Derivatives

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:

Wells Fargo is seeking a Lead Quantitative Analytics Specialist to join the Markets division of Model Risk Management team. Wells Fargo’s Model Risk Management (MRM) team is responsible for independently overseeing the management of model risk exposures across the enterprise (including governing, monitoring, and reporting on aggregate model risk exposures, model validations, and model oversight across enterprise). This oversight extends to all phases of a model’s life cycle, including identification, development, validation, implementation, finding resolution, usage, performance monitoring, documentation, and retirement.

Job Responsibility:

  • Performing model validations and clearly documenting narrative of validation perspective
  • Providing effective challenge to models developed in the lines of business (LOB)
  • Developing alternative benchmarking models or replicating LOB models
  • Reducing model risk to meet or exceed regulatory and industry standards
  • Identifying conceptual weaknesses in a model and understanding tradeoffs with other approaches
  • Communicating model issues and limitations to key stakeholders
  • Contributing to improvement of model building and use practices
  • Providing leadership and consultation to less experienced validators
  • Providing analytical support and offering insights regarding a wide array of business initiatives
  • Interacting with senior management and regulators on key modeling issues, including the identification, management and mitigation of model risk
  • Communicating to different audiences (other technical staff, senior management and regulators) both verbally and in writing
  • Managing 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 financial derivatives, electronic trading, market risk, or counterparty credit risk at financial institutions, software companies, teaching/research institutions, or other related entities
  • Knowledge of stochastic processes, stochastic calculus, Monte Carlo methods, numerical methods (finite differences, optimization…)
  • Familiarity with statistical data analysis and machine-leaning models
  • 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
  • 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
  • Experience with and fundamental understanding of Electronic and Algo trading. Equities market microstructure and trading workflows: order execution algorithms (seeking liquidity while minimizing market impact and volatility risk)
  • trading venues, order types, order routing
  • market signal events with statistical analysis and machine learning
  • tools for trade cost analysis, benchmark tracking
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 15, 2025

Expiration:
May 26, 2025

Employment Type:
Fulltime
Work Type:
Hybrid work
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