Lead Quantitative Analytics Specialist

110380-IND-BENGALURU-INTL BLR Twr-1&2 CARNATION, India

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Wells Fargo

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About this role:

Wells Fargo is seeking an experienced Lead data scientist NLP/LLM to drive our natural language processing and large language model initiatives. The ideal candidate will combine deep technical expertise with leadership skills to guide a team in developing cutting-edge NLP solutions.

In this role, you will:

  • Lead the development and implementation of NLP and LLM-based applications
  • Architect scalable solutions for complex language understanding challenges
  • Mentor and provide technical guidance to team members
  • Collaborate with cross-functional teams to define requirements and deliver solutions
  • Stay current with the latest advancements in NLP/LLM research and technologies
  • Drive innovation through proof-of-concepts and research initiatives
  • Establish best practices for model development, evaluation, and deployment

Required Qualifications:

  • 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

Essential Qualifications

  • 5+ years of hands-on experience in NLP and machine learning
  • 3+ years of experience working with transformer-based models and LLMs
  • Strong programming skills in Python and experience with NLP libraries (NLTK, spaCy, Hugging Face)
  • Strong experience in developing NLP models like logistic regression, XGboost, LightGBM’s linear SVC etc.
  • Demonstrated experience fine-tuning and deploying LLMs (GPT, BERT, T5, etc.)
  • Experience with prompt engineering and optimization techniques
  • Knowledge of model evaluation metrics and performance optimization
  • Experience leading technical teams and managing complex projects
  • Master's degree or higher in Computer Science, Computational Linguistics, or related field

Desired Qualifications

  • BS or MS degree in statistics, machine learning, NLP, or related field
  • Experience with multimodal models and retrieval-augmented generation
  • Contributions to open-source NLP/LLM projects or research publications
  • Experience with MLOps and model deployment pipelines
  • Knowledge of responsible AI practices and bias mitigation techniques
  • Experience with cloud platforms (GCP, Azure) for ML workloads
  • Background in specific domain applications (healthcare, finance, legal, etc.)
  • Experience with distributed computing for large-scale model training

Posting End Date: 

27 Jul 2025

*Job posting may come down early due to volume of applicants.

We Value Equal Opportunity

Wells Fargo is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other legally protected characteristic.

Employees support our focus on building strong customer relationships balanced with a strong risk mitigating and compliance-driven culture which firmly establishes those disciplines as critical to the success of our customers and company. They are accountable for execution of all applicable risk programs (Credit, Market, Financial Crimes, Operational, Regulatory Compliance), which includes effectively following and adhering to applicable Wells Fargo policies and procedures, appropriately fulfilling risk and compliance obligations, timely and effective escalation and remediation of issues, and making sound risk decisions. There is emphasis on proactive monitoring, governance, risk identification and escalation, as well as making sound risk decisions commensurate with the business unit’s risk appetite and all risk and compliance program requirements.

Candidates applying to job openings posted in Canada: Applications for employment are encouraged from all qualified candidates, including women, persons with disabilities, aboriginal peoples and visible minorities. Accommodation for applicants with disabilities is available upon request in connection with the recruitment process.

Applicants with Disabilities

To request a medical accommodation during the application or interview process, visit Disability Inclusion at Wells Fargo.

Drug and Alcohol Policy

 

Wells Fargo maintains a drug free workplace.  Please see our Drug and Alcohol Policy to learn more.

Wells Fargo Recruitment and Hiring Requirements:

a. Third-Party recordings are prohibited unless authorized by Wells Fargo.

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

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Tags: Azure BERT Computer Science Economics Engineering Finance GCP GPT LightGBM Linguistics LLMs Machine Learning Mathematics ML models MLOps Model deployment Model training NLP NLTK Open Source Physics Pipelines Prompt engineering Python RAG Research Responsible AI spaCy Statistics XGBoost

Perks/benefits: Career development

Region: Asia/Pacific
Country: India

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