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Lead Quantitative Analytics Specialist - AI ML CoE

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Location: Addison, Texas, Charlotte, North Carolina, Fort Mill, South Carolina, Minneapolis, Minnesota, San Francisco, California, Tempe, Arizona, West Des Moines, Iowa Job ID R-168718

About this role:

Wells Fargo is seeking a Lead Quantitative Analytics Specialist.

The Artificial Intelligence Model Development Center of Excellence (AI MD CoE) is a data science team, responsible for developing and deploying machine learning, NLP, and AI solutions for a number of domain areas such as fraud prevention, credit risk, experience personalization, customer listening, risk and compliance, anomaly detection, operational improvement, cyber security, identity management, digital customer experience and virtual assistant. The CoE partners closely with the AI Technology teams at the bank, and brings a cross-functional approach to identifying, developing and deploying AI solutions. The CoE requires high-skill/ high-motivation individuals who enjoy working collaboratively in a team setting, used to taking decisions autonomously and comfortable with a dynamic work environment.

Data Science teams in the AI MD CoE will be responsible for developing and deploying machine learning, and AI solutions for key strategic Enterprise, working in small agile pods working on individual initiatives. The AI MD CoE is looking for an experienced AI model professional to add to its structured-data machine learning, or NLP model development teams.

Within the individual pods, you will be responsible for designing, developing, and implementing AI/ML models to support various initiatives across the enterprise.  You will leverage structured data sources both internal and external to the Bank, to build Machine Learning/Deep Learning solutions using open stack languages (mainly Python/PySpark/PyTorch) as well as commercial tools like H2O. You will collaborate with LOB organizations to frame the problem, explore various modeling methodologies and tools to deliver business solutions according to timelines. Collaborating with WF AI Tech, AI business, and LOB leads, you and your team will develop, deliver, and deploy AI/ML models on the Wells Fargo AI open source platform, and operationalize them for business use. You expect to follow and contribute to the Model Development Life Cycle (MDLC) that focuses on generating standardized processes, repeatable modules, and required artifacts to scale up model development, model review, and validation. You will work with Wells Fargo model risk governance and validation teams to ensure the modeling processes and procedures meet corporate model risk policy and requirements. You will also be managing work efforts with AI vendors to ensure vendor AI models pass Wells Fargo model risk policies and requirements including model development documents and reviews.

As part of our CoE, we invest in you and your career. In addition to Wells Fargo benefits you may be eligible for, you’ll have access to elite training platforms like O’Reilly and DataCamp, where you can learn from industry leading experts, along with many other internal and external subject specific education opportunities. Our diverse data science team ranges from university professors and experienced practitioners to data scientists new to the industry, creating a full spectrum of thought leadership and solution design. You’ll be part of a team where there is room to grow, learn, contribute and participate in work being done on world class distributed computing platforms with the latest AI ML framework, both Open Source and licensed, that ultimately supports our customers and company. The AI ML CoE also gives you the opportunity to share your passion for data science through peer education and contributing to programs designed to make the practice more approachable, including one for experienced professionals moving into data science roles.


In this role, you will:

  • 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
  • Design, develop, and deploy AI/ML models using state of the art techniques available in the open stack (Python/PySpark/PyTorch) and/or vendor solutions
  • Partner with LOB leads to frame the problem, explore various ML/DL model architectures and methodologies, generate required artifacts related to model development life cycle (MDLC), author the model development document, and deliver AI models that meet business needs
  • Adhere to corporate model risk policy and ensure compliance with model risk management
  • Working with other data science teams to identify, gather, retain, and publicize modeling artifacts required for approved and repeatable processes
  • Work with AI technology and production teams to operationalize models
  • Work effectively in an agile project management methodologies for data science
  • Knowledge sharing with members of the team and across the organization on topics including machine learning algorithms, hyper-parameter tuning/search, and traversing across multiple big data platforms
  • Contribute to the CoE data science team’s group effort to stay current with the cutting edge NLP/ML/DL algorithms, methodologies in the open source community and vendor solutions.


Required Qualifications, US:

  • 5+ years of Quantitative Analytics experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
  • 6+ years of statistical modeling experience
  • Master's degree or higher in a quantitative field such as mathematics, statistics, engineering, physics, economics, or computer science

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, or status as a protected veteran.

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.

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