Wells Fargo Senior Quantitative Analytics Specialist 

India, Karnataka, Bengaluru 

442792045

In this role, you will:

• Partner with the Lead data scientists and data science manager to develop and implement NLP and LLM-based applications
• Work individually or as part of a team on data science projects and work closely with business partners across the organization to define business problems and translate them into analytical problems
• Perform data wrangling, data exploration and data pre-processing activities
• Develop ablation studies and full-length experiments for the problem at hand (statistical modeling, supervised, unsupervised, semi-supervised)
• Demonstrate strong skills in technologies including but not limited to Python, PySpark, H2O, SQL, and one of GCP/Azure/AWS techstak (preferably Vertex AI, Bigquery)
• Work closely with data engineers, platform engineers, and UI specialists to deliver top notch AI and NLP solutions for the bank
• 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:

• 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

Qualifications:

• BS/BA degree or higher in a quantitative field such as applied math, statistics, engineering, physics, accounting, finance, economics, econometrics, computer sciences
• 4+ years of relevant experience
• Experience with supervised, unsupervised, and semi-supervised learning
• Experience with deep-learning, artificial intelligence techniques
• Strong programing skills and experience with handling some of the following data modes: text, image, voice, video, program logs
• Experience with Sql ,Teradata, Hadoop, Spark
• 2+ 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 with logistic regression, XGboost, LightGBM’s, 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 working in technical teams and complex projects
• Strong collaboration skills

Desired Qualifications:

• Master's degree or higher in computer science, computational linguistics, machine learning, statistics or related field is preferred
• Experience with cloud platforms (GCP, Azure) for AI/ML workloads
• Output deployment using appropriate technologies (HTML5, Shiny, Django)
• Working expertise in Tensorflow, Keras or Pytorch
• knowledge of banking industry and products in at least one of the LOB such as credit cards, mortgage, deposits, loans or wealth management etc.
• Knowledge of functional area such as risk, marketing, operations or supply chain in banking industry
• 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 distributed computing for large-scale model training

Wells Fargo Recruitment and Hiring Requirements:

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