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Lead Quantitative Analytics Specialist - Corporate & Investment Banking

https://www.wellsfargo.com/ Logo

Wells Fargo

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Location:
United States, Charlotte

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Category:
Banking

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Contract Type:
Not provided

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Salary:

Not provided
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Job Description:

Wells Fargo is seeking a Lead Quantitative Analytics Specialist to fill the role within the MCRA team (Market and Counterparty Risk Analytics). This position will cover researching, developing, testing, analyzing, monitoring, tool-building, and documentation of MCRM models.

Job Responsibility:

  • Develop, implement, and calibrate various analytical models for risk management
  • Perform highly complex activities related to financial products, business analysis and modeling
  • Perform basic statistical and mathematical models using Python, C++ and SQL
  • Perform analytical support and provide insights regarding a wide array of business initiatives
  • Provide solutions to business needs and analyze work flow processes to make recommendations for process improvement in risk management
  • Collaborate and consult with peers, colleagues, managers and regulators to resolve issues and achieve goals
  • Establishing effective yet automated controls and creating consistent and robust execution processes across models
  • Maintaining documentation for key implementation processes across the team with focus on standardization of implementation and execution controls
  • Partnering with modeling team to understand model structure and limitation
  • performing model performance monitoring, creating and sharing regular reports with key stockholders

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 statistics, mathematics, physics, engineering, computer science, economics, or quantitative field
  • or a Master's degree
  • Strong analytical skills with Python programming and C++ programming expertise in model development
  • Strong financial modeling knowledge in stochastic calculus and numerical computation
  • Strong analytical/quantitative problem-solving skills
  • Knowledge and understanding of financial products and financial modeling
  • Strong time management skills and ability to meet deadlines
  • Ability to deliver results with speed and agility
  • Ability to work effectively in a team environment and across all organizational levels, where flexibility, collaboration, and adaptability are important
  • Excellent verbal, written, and interpersonal communication skills
  • Ability to prioritize work, meet deadlines, achieve goals, and work under pressure in a dynamic and complex environment
What we offer:
  • Compliance with in-office policy
  • hybrid work schedule
  • diversity, equity and inclusion in the workplace
  • medical accommodation during the application or interview process

Additional Information:

Job Posted:
April 25, 2025

Expiration:
April 29, 2025

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