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About this role:
As Wells Fargo expands Natural Language Process (NLP) and Generative Artificial Intelligence (AI) use cases, Enterprise Data Science is looking for a talented individual to provide technical leadership on all matters related to use case qualification, infrastructure optimization, data science techniques, innovation, and model risk management.
Wells Fargo is seeking a Principal Quantitative Analytics Specialist to join the Enterprise Data Science group within Data Management and Insights (DMI) team. This role will report to the Head of NLP, Generative AI and Innovation and will require an individual with hands-on experience in solving complex machine learning challenges and proven track record of data science innovation. You will work directly with executive sponsors of AI use cases, platform engineers, product managers, risk and compliance partners, fellow data scientists, academic and vendor partners to help deliver advanced AI solutions in a highly governed enterprise setting.
In this role, you will:

• Collaborate closely with engineering and product teams to help optimize and test the technology stack for LLM inferencing and training. Contribute to the platform roadmap.
• Help translate business pain points into solvable AI problems. Collaborate with engineers and architects to take into account the full solution considerations and formulate the data science problem
• Develop reusable code and libraries to accelerate NLP and Gen AI model development.
• Collaborate with academic and industry partners to develop a point of view on industry practices, pro and cons of different approaches and capabilities and use case roadmap
• Lead collaboration with Corporate Model Risk (CMOR) - to help define and refine model risk requirements for Large Language Models (LLM) and generative AI models
• Consult with all levels of managers, regulators, and auditors

Required Qualifications:

• 10 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
• 2 years of Natural Language Processing (NLP) experience

Desired Qualifications:

• 2 year of experience working on Large Language Models in highly regulated industries or 4 years of NLP model development using frameworks like Pytorch and Keras
• Published research in Natural Language Processing (NLP)
• 3 years of analytics consulting experience
• 2 experience with data science development in public or private cloud platforms or 2 years of platform engineering experience
• The position offers a hybrid work schedule - three days in the office and two days remote

Pay Range
$207,900.00 - $431,900.00
Benefits
Wells Fargo provides all eligible full- and part-time employees with a comprehensive set of benefits designed to protect their physical and financial health and to help them make the most of their financial future. Visit Benefits - Wells Fargo Careers for an overview of the following benefit plans and programs offered to employees.

• 401(k) Plan
• Paid Time Off
• Parental Leave
• Critical Caregiving Leave
• Discounts and Savings
• Health Benefits
• Commuter Benefits
• Tuition Reimbursement
• Scholarships for dependent children
• Adoption Reimbursement

Posting End Date:
15 May 2024
* Job posting may come down early due to volume of applicants.
We Value Diversity
At Wells Fargo, we believe in diversity, equity and inclusion in the workplace; accordingly, we welcome applications for employment from all qualified candidates, regardless of race, color, gender, national origin, religion, age, sexual orientation, gender identity, gender expression, genetic information, individuals with disabilities, pregnancy, marital status, status as a protected veteran or any other status protected by applicable law.
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 US: 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.
Applicants with Disabilities
To request a medical accommodation during the application or interview process, visit Disability Inclusion at Wells Fargo .
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Wells Fargo maintains a drug free workplace. Please see our Drug and Alcohol Policy to learn more.