Wells Fargo Quantitative Analytics Specialist 

India, Karnataka, Bengaluru 

376007223

Department Overview

RIFAM is now expanding to explore applications of machine learning (ML) and generative AI (GenAI) in the wealth investment management space.

About the Role

Wells Fargo is looking for Quantitative Analytics Specialist.

Responsibilities

• Support complex initiatives including creation, implementation, documentation and performance monitoring of complex quantitative models using statistical, financial and other methods.
• Support the model life cycle, including inception, development, and model maintenance according to the model risk management policy.
• Establish proof of value of several ML and GenAI vendor-based solutions to be deployed in the WIM business.
• Provide solutions to business needs and ad-hoc analyses to support modeling decisions or help in the business decision making process.
• Support the creation of benchmarks and provide proper developmental evidence for the supported models.
• Design model performance metrics, seeking the support from the business and presenting decisions to our risk partners.
• Actively participate in the documentation and submission of our models to independent risk partners and provide necessary support to address concerns.
• Review and assess models inclusive of technical, audit, and market perspectives.
• Present results of analysis to businesses, risk partners, regulators and auditors.

Required skills:

• 2+ 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 statistics, mathematics, physics, engineering, computer science, economics, or quantitative discipline

Desired Skills :

• 7+ 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 statistics, mathematics, physics, engineering, computer science or quantitative discipline

• Master’s degree in a quantitative discipline
• Chartered Financial Analyst (CFA) holder.
• Model development and implementation experience in the Wealth and Investment Management and/or Financial Planning industry.
• Experience with evaluation of Large Language Models (LLMs) models, bias detection, and evaluation methods (perplexity, coherence, hallucination detection).
• Ability to benchmark GenAI/ML models against industry standards and best practices.
• Understanding of financial regulations related to AI and chatbot use in investment management.
• Experience in quantitative analysis and modeling of financial products
• Experience with portfolio optimization, factor models and Monte Carlo simulations techniques
• Prior experience with capital market assumptions modeling, including factor modeling and forecasting highly desirable.
• Solid understanding of statistics and time series analysis.
• Experience with model review, model validation and model lifecycle
• Working experience developing or benchmarking models in Python
• Proficiency with SQL.
• Experience with GitHub desirable.
• Track record of quality and timely delivery of work products
• Comfortable addressing ambiguity, conflicting requirements
• Track record of taking initiative and accountability
• Ability to communicate advanced quantitative concepts clearly to both technical and non-technical audiences.
• Willingness to adapt in a fast-paced work environment; strong sense of urgency
• Excellent verbal, written, and interpersonal communication skills
• Ability to develop partnerships and collaborate with other business and functional areas

29 Apr 2025

Wells Fargo Recruitment and Hiring Requirements:

b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.