Lead Quantitative Analytics Specialist

About this role:
Wells Fargo is seeking a Lead Quantitative Analytics Specialist.
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

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:

• Bachelor's degree or higher in a quantitative fields such as Computer Science, Applied mathematics, engineering, statistics, finance or econometrics from top tier institutes
• Strong problem solving skills
• 5+ years of experience in credit risk analytics with exposure to statistical and machine learning model development, implementation or ML Ops
• 2+ years of advanced programming expertise in SAS
• 5+ years of advanced programming and debugging skills in Python - OOP, packaging, build and deployment, data structures and algorithms, decorators, logging, exception handling, JIT compilers
• 2+ years of experience in High performance computing, Big Data and real time solutions - PySpark, MapR streaming, parallel processing, real time optimization.
• 2+ years of experience in unit testing, UAT testing, regression testing, Splunk monitoring and code reviews
• Comfortable with Git, GitHub, CI/CD pipelines and UNIX commands
• Excellent verbal, written, and interpersonal communication skills
• Strong ability to develop partnerships and collaborate with other business and functional areas
• Knowledge and understanding of issues or change management processes
• Experience determining root cause analysis
• Detail oriented, results driven, and has the ability to navigate in a quickly changing and high demand environment while balancing multiple priorities
• Understanding of bank regulatory data sets and other industry data sources
• Ability to research and report on a variety of issues using problem solving skills
• Exposure to banking domain in Credit Risk area on Retail/Commercial portfolio

Job Expectations:

• Implement optimized ML solutions
• Perform various complex activities related to predictive modeling process enhancements and Python conversions
• Provide engineering and analytical solutions across model development, implementation, monitoring and production in a Big Data environment
• Support implementation of python based solutions for real time and/or batch based Machine Learning scorecard models for consumer and commercial banking
• Identify opportunities and deliver process improvements, standardization, rationalization and automations

Posting End Date:
22 Oct 2025
*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 unit's risk appetite and all risk and compliance program requirements.
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.
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.