Senior Quantitative Analytics Specialist AI and Machine Learning

About this role:

Wells Fargo is seeking a Senior Quantitative Analytics Specialist experienced in NLP/GenAI to drive our natural language processing and large language model initiatives. This role is ideal for a seasoned professional passionate about building scalable NLP solutions and driving innovation in large language model (LLM) applications.

In this role you will:

• Lead the design development and implementation of NLP and LLM-based systems for complex language understanding tasks.
• Architect scalable and robust solutions using state-of-the-art NLP techniques and open-source or vendor frameworks.
• Guide and mentor junior team members fostering technical excellence and collaboration.
• Partner with cross-functional teams to gather requirements and deliver impactful AI-driven solutions.
• Engage with regulators auditors and technical stakeholders to ensure transparency and compliance.
• Stay abreast of emerging trends in NLP LLMs and GenAI and translate research into practical applications.
• Drive innovation through proof-of-concept initiatives and exploratory research.
  Establish and promote best practices for model development evaluation and deployment.
• Build and operationalize AI/ML models using modern NLP libraries and cloud-native tools.

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
• Masters degree or higher in a quantitative discipline such as mathematics statistics engineering physics economics or computer science

Desired Qualifications:

• 2 years of hands-on experience in NLP and machine learning
• 1 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 LightGBMs 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
• 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

Job Expectations:

• This position offers a hybrid work schedule
• This position is not eligible for Visa sponsorship
• Candidate must reside within a reasonable commute to a location listed in the posting

San Franciso CA pay range will be: 167000 to 260000

Pay Range

Reflected is the base pay range offered for this position. Pay may vary depending on factors including but not limited to achievements skills experience or work location. The range listed is just one component of the compensation package offered to candidates.

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 units risk appetite and all risk and compliance program requirements.

Applicants with Disabilities

To request a medical accommodation during the application or interview process visitDisability 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.