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Senior Quantitative Model Solutions Specialist

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Onsite

Senior Quantitative Model Solutions Specialist

Wells Fargo International Solutions Private Ltd

Senior Quantitative Model Solutions Specialist

Skills

PythonData AnalysisPySpark

2 months ago

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Important information


Contract type:

Permanent

Location:

Bengaluru, Karnataka, India

Work mode:

Onsite

Published on:

20 August 2026

What they need


About this role:

Wells Fargo is seeking a Senior Quantitative Model Solutions Specialist.

In this role, you will:

  • Perform highly complex activities related to creation, implementation, and documentation
  • Use highly complex statistical theory to quantify, analyze and manage markets
  • Forecast losses and compute capital requirements providing insights, regarding a wide array of business initiatives
  • Utilize structured securities and provide expertise on theory and mathematics behind the data
  • Manage market, credit, and operational risks to forecast losses and compute capital requirements
  • Participate in the discussion related to analytical strategies, modeling and forecasting methods
  • Identify structure to influence global assessments, inclusive of technical, audit and market perspectives
  • Collaborate and consult with regulators, auditors and individuals that are technically oriented and have excellent communication skills

Required Qualifications:

  • 4+ 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

Desired Qualifications:

  • 4+ years of advanced programming expertise in Python
  • Bachelors or Masters degree in Quantitative Finance/ Statistics/ Economics/ Computer Science, or related field
  • 4+ years of experience in Python, PySpark, and model deployment frameworks, along with a deep understanding of credit risk modeling
  • Experience in Implementation/Development of regulatory Creditrisk (including CCAR, CECL and IFRS), RRP Valuation, and PPNR models.
  • Experience in model implementation, production, monitoring and model analytics.
  • Strong documentation and project management capabilities with ability to prioritize work, meet deadlines, achieve goals, and work under pressure in a dynamic and complex environment
  • Excellent verbal, written, and interpersonal communication skills
  • Strong ability to develop partnerships and collaborate with other business and functional areas

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