Senior Quantitative Analytics Specialist

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

Essential 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

Posting End Date: 

*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.