Lead Quantitative Analytics Specialist

3 weeks ago

Tempe, United States Wells Fargo Full time

**About this role**:
As part of the model development team, you will be responsible for delivering solutions that meet business needs, as well as any efforts related to model documentation and reviews to ensure the modeling processes and procedures meet corporate model risk policies and requirements.

**In this role, you will**:

- Design, develop, and deploy AI/ML models using state of the art NLP and ML techniques available in the open stack and/or vendor solutions.
- Communicate progress and results to key stakeholders.
- Adhere to corporate model risk policy and ensure compliance with model risk management.
- Lead a team of data scientist on projects and collaborate with other team data scientists to deliver modeling solutions and create modeling artifacts.
- Contribute to NLP data science team group effort to stay concurrent with the cutting-edge NLP and Generative AI algorithms, methodologies in the open-source community and vendor solutions.
- Work with Technology and Business partners to operationalize models.
- Lead complex initiatives including creation, implementation, documentation, validation, articulation, and defense of highly statistical theory
- Qualify monitor markets and forecast credit and operational risks
- Strategize short and long-term objectives, and provide analytical support for a wide array of business initiatives
- Utilize stochastic, structured securities, spread analysis, with the expertise in the theory and mathematics behind the analysis
- Review and assess models inclusive of technical, audit, and market perspectives
- Identify structure and scope of review
- Enable decision making for product and marketing with broad impact and act as key participant to develop and document analytical models
- Collaborate and consult with regulators and auditors
- Present results of analysis and strategies

**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

**Desired Qualifications**:

- 5+ years of Machine Learning (ML) experience.
- 5+ years of Natural Language Processing (NLP) experience.
- Experience in Python NLP machine learning frameworks
- Knowledge and understanding of Generative Artificial Intelligence (AI) modeling.
- Experience with design, implementation, and governance of Artificial Intelligence and Natural Language Processing models.
- Experience leading efforts with multiple stakeholder groups.
- Good analytical skills with high attention to detail and accuracy.
- Project management experience.
- GitHub experience

**Job Posting Locations**:

- NC-Charlotte: MIN $144,400 MAX $300,00
- IA-West Des Moines: MIN $144,400 MAX $300,00
- MN-Minneapolis: MIN $144,400 MAX $300,00
- AZ-Phoenix: MIN $144,400 MAX $300,00
- CA-San Francisco: MIN $144,400 MAX $300,00
- TX-Dallas: MIN $144,400 MAX $300,00
- May be eligible for an annual discretionary bonus

**Pay Range**
$144,400.00 - $300,000.00

**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**:
20 Jun 2024
- **Job posting may come down early due to volume of applicants.**

**We Value Diversity**

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.

**Applicants with Disabilities**

**Drug and Alcohol Policy**

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

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