About this role:
Wells Fargo is seeking a Senior Quantitative Model Solutions Specialist
In this role, you will:
Lead or participate in moderately complex model maintenance and optimization initiatives related to operating processes, controls, reporting, testing, implementation, and documentation
Review and analyze moderately complex data sets, quantitative models, and model outputs to validate model efficiency and results in support of business initiatives
Advise and guide team on moderately complex model optimization and processes strategies
Independently resolve moderately complex issues and lead team to meet project deliverables while leveraging solid understanding of policies and compliance requirements
Collaborate and consult with peers, colleagues, and managers to resolve issues and achieve goals.
Required Qualifications:
4+ years of quantitative solutions engineering, model solutions or quantitative model operations experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education.
Desired Qualifications:
Overall experience around 4 to 10 years in similar role
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
4+ years of experience in credit risk analytics with exposure to statistical and machine learning model development, implementation or ML Ops
4+ years Data engineer- Oracle, Teradata, Hadoop, SQL
2+ years of advanced 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 and code review
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
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:
15 Apr 2025*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.
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.
