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Senior Lead Quantitative Analytics Specialist

https://www.wellsfargo.com/ Logo

Wells Fargo

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Location:
United States, Charlotte

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

Not provided
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Job Description:

Wells Fargo's Model Risk Management organization is seeking a highly qualified person to join its Decision Science and Artificial Intelligence Group as a Senior Lead Quantitative Analytics Specialist to manage model risk over the model lifecycle including risk tiering, validation, and performance monitoring for Financial Crimes, Fair Lending and other Compliance models.

Job Responsibility:

  • Lead end-to-end model risk management including model validation, performance monitoring and governance for Financial Crimes, Fair Lending and other Compliance models
  • Lead validation projects and coach junior team members
  • Develop reusable code and libraries to accelerate Financial Crimes model validation
  • Write detailed standard analytical reports
  • Communicate with stakeholders, regulators, and auditors

Requirements:

  • 7+ years of Quantitative Analytics experience
  • Master's degree or higher in a quantitative discipline (mathematics, statistics, engineering, physics, economics, or computer science)
  • In-depth knowledge of ML methodologies (ensemble algorithms, neural networks, supervised and unsupervised learning)
  • In-depth knowledge of Financial Crimes, Fair Lending, and other Compliance models
  • Strong computing and programming background (Python, Java)
  • Experience with ML/AI computing platforms and tools
  • Ability to work with large datasets and database management (Hadoop, Spark, SQL)
  • Proficiency in software development
  • Ability to take initiative and work independently
  • Excellent writing and communication skills
  • Strong conceptual and quantitative problem-solving skills
  • Ability to work in cross-organizational projects

Nice to have:

PhD in statistics, economics, computer science, optimization, electrical engineering, or related quantitative discipline

Additional Information:

Job Posted:
September 03, 2025

Expiration:
September 04, 2025

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