Senior Quantitative Analytics Specialist

About this role:
Wells Fargo is seeking a Senior Quantitative Analytics Specialist
In this role, you will:

• Perform highly complex activities related to creation, implementation, and documentation
• Use highly complex statistical theory to quantify, analyze and manage markets
• Forecast losses and compute capital requirements providing insights, regarding a wide array of business initiatives
• Participate in the discussion related to analytical strategies, modeling and forecasting methods
• Identify structure to influence global assessments, inclusive of technical, audit and market perspectives
• Collaborate and consult with regulators, auditors and individuals that are technically oriented and have excellent communication skills

Required Qualifications:

• 4+ 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 field such as Computer Science, Applied mathematics, engineering, statistics, finance or econometrics from top tier institutes
• Strong problem-solving skills
• 3+ years of experience in credit risk analytics with exposure to statistical and machine learning model development, implementation or ML Ops
• 1+ years of Programming expertise in SAS
• 4+ 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
• 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:
9 Nov 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.