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Senior Quantitative Analytics Specialist (Ref #001388)

  • Administrative & Corporate Services
  • Full time
  • R-357657

At Wells Fargo, we want to satisfy our customers’ financial needs and help them succeed financially. We’re looking for talented people who will put our customers at the center of everything we do. Join our diverse and inclusive team where you’ll feel valued and inspired to contribute your unique skills and experience.

Help us build a better Wells Fargo. It all begins with outstanding talent. It all begins with you.

Corporate Risk helps all Wells Fargo businesses identify and manage risk. The team focuses on several key risk types, including conduct, credit, financial crimes, information security, interest rate, liquidity, market, model, operational, regulatory compliance, reputation, strategic, and technology risk.

The group provides leadership, enhances communications, assists with problem identification and solutions, and shares best practices. In addition, the group provides an enterprise-wide view of risk, assists management and our Board of Directors in identifying and monitoring risks that may affect multiple lines of business, and takes appropriate action when business activities exceed the risk tolerance of the company.

Wells Fargo Bank N.A. seeks a Senior Quantitative Analytics Specialist in Addison, Texas.

Job Role and Responsibility: Work in part of the data science team focused on building models for lines of business across the enterprise. Work with other data scientists on the team to follow and develop the model according to our analytic process. Partner with line of business executives and senior leaders to frame the problem and define/identify business objectives. Identify/assess data sources. Conduct comprehensive literature reviews to support the methodology decisions you will make as part of model development. Design, develop, and deploy models using state of the art techniques available in the open stack and/or vendor solutions. Design and build effective data visualizations. Communicate the results to the line of business. Write comprehensive and accurate model development documentation. Develop a model monitoring plan. Knowledge of regulatory requirements related to model risk management (FRB/OCC SR 11-7). Adhere to corporate model risk policy and ensure compliance with model risk management. Work with other data science teams to identify, gather, retain, and publicize modeling artifacts required for approved and repeatable processes. Contribute to data science team’s group effort to stay concurrent with the cutting edge algorithms, methodologies in the open source community and vendor solutions. Work with technology and production teams to operationalize models. May be called upon to review vendor models and solutions and/or models developed outside of the CoE. Remote / telecommute work available up to 2 days per week. Position required to appear in person at the location listed.

Travel required: None

Required Qualifications: Position requires a Master’s degree in Data Science, Computer Science, Computer Engineering, Data Analytics, or related technical field and two (2) years of experience in the job offered or experience in an advanced scientific or mathematical field.

Specific skills required:

  • Two (2) years of Python experience
  • Two (2) years of PySpark experience
  • Two (2) years of experience using quantitative machine learning techniques
  • Two (2) years of SQL experience
  • Big Data experience
  • Tableau experience
  • Model validation experience
  • Experience using GitHub for version control and collaboration
  • Experience implementing solution with common AI/ML frameworks and libraries in Python

Qualified applicants send resume to: recruiter_inbox@wellsfargo.com and reference Requisition #001388 in the subject line.

Posting End Date: 

18 Apr 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.

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.


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