In this role, you will:
- Participate in identifying, assessing, managing, and mitigating current and emerging risk exposures within Control Management functional area
- Provide risk management consulting to support the business in designing and implementing risk mitigation strategies, business processes, and business controls
- Monitor moderately complex business specific programs and provide risk management consulting to support the business in designing and implementing risk mitigation strategies
- Monitor, measure, evaluate, and report on the impact of decisions and controls to the relevant business group or functional area
- Provide guidance to business groups on the development, implementation, and monitoring of business specific programs to identify, assess, and mitigate risk
- Collaborate with relevant business group to identify current and emerging risks associated with business activities and operations
Required Qualifications:
- 4+ years of Risk Management or Control Management experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
Desired Qualifications:
- Bachelor's degree or higher in Computer Science, Engineering, or related field
- Experience in using Python for data wrangling, transformation, and automation tasks
- Strong working knowledge of data manipulation libraries including NumPy, Pandas, and Polars
- Familiarity with modern data architecture concepts and working with large datasets
- Experience with Power Platform (Power BI, Power Apps, Power Automate) is a strong plus
- Strong analytical skills and problem-solving ability
- Prior Work Experience / Knowledge in Risk and Controls is a plus.
- Ability to work independently and proactively in a fast-paced environment
- Deep understanding of the data and ability to identify similar concepts in the different data sets.
Job Expectation:
- Experience in Software Engineering, Data Engineering, or equivalent (work experience, training, education, military)
- 4+ years of strong hands-on programming experience in Python
- 4+ years of experience writing optimized SQL queries and working with relational databases
- Experience in Data Engineering, Software Engineering, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education.
- Lead moderately complex data engineering and analytics initiatives within the enterprise data environment
- Develop, maintain, and optimize data pipelines using Python, SQL, and related libraries (e.g., Pandas, NumPy, Polars)
- Design, code, test, debug, and document scalable ETL processes and data transformation scripts
- Participate in the design and development of high-performance data solutions, integrating structured and semi-structured data sources
- Collaborate with business stakeholders, analysts, and platform teams to translate business requirements into robust data flows.
- Design, build, and optimize risk reports in PowerPoint using Python based on data and risk assessments.
- Review the measures, calculations, and commentary provided against the KRIs and metrics on a regular basis.
- Conduct analysis on the complex sets of data
- Support the team in producing accurate reports on a regular basis
21 Aug 2025
Wells Fargo Recruitment and Hiring Requirements:
b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.