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Wells Fargo is seeking a Senior Balance Sheet Management Analyst. In this role, you will lead or participate in moderately complex initiatives related to balance sheet management activities including measuring and managing risk arising from a mismatch of liquidity and cash flow profiles of assets and liabilities. You will review and analyze liquidity risk management, foreign exchange risk management, and interest risk management and provide overall advisory on such matters. You will be responsible for moderately complex reporting and analytics on treasury balance sheet management metrics, ensure accurate recurring deliverables are completed and compliant with various risk management regulatory requirements, and ensure data quality and establish controlled processes. You will make recommendations to more experienced group members and management, collaborate and consult with peers, colleagues and mid-level managers to resolve issues and achieve goals, and interact with internal customers as well as outside parties including accounting and consulting firms. Job expectations include designing, developing, and maintaining scalable and efficient data pipelines and ETL workflows using Python; collaborating with data scientists, analysts, and business stakeholders to understand data requirements and deliver actionable solutions; building and optimizing data models and data warehousing solutions for financial reporting and analytics; developing APIs and backend services using Python frameworks; integrating with financial systems and tools; ensuring data quality, validation, and governance; implementing automation for data processes; participating in code reviews and deployment; and staying updated with emerging technologies.
Job Responsibility:
Lead or participate in moderately complex initiatives related to balance sheet management activities including measuring and managing risk arising from a mismatch of liquidity and cash flow profiles of assets and liabilities
Review and analyze liquidity risk management, foreign exchange risk management, and interest risk management and provide overall advisory on such matters
Be responsible for moderately complex reporting and analytics on treasury balance sheet management metrics
Ensure accurate recurring deliverables are completed and compliant with various risk management regulatory requirements
Ensure data quality and establish controlled processes
Make recommendations to more experienced group members and management
Collaborate and consult with peers, colleagues and mid-level managers to resolve issues and achieve goals
Interact with internal customers as well as outside parties including accounting and consulting firms
Design, develop, and maintain scalable and efficient data pipelines and ETL workflows using Python
Collaborate with data scientists, analysts, and business stakeholders to understand data requirements and deliver actionable solutions
Build and optimize data models and data warehousing solutions for financial reporting and analytics
Develop APIs and backend services using Python frameworks such as Flask, Django, or FastAPI
Integrate with financial systems and tools (e.g., Alteryx, Power BI, SQL Server, Oracle)
Ensure data quality, validation, and governance across the data lifecycle
Implement automation for data ingestion, transformation, and reporting processes
Participate in code reviews, performance tuning, and deployment using CI/CD pipelines
Stay updated with emerging technologies in data engineering and financial analytics
Requirements:
4+ years of Treasury experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
Bachelor’s or Master’s degree in Computer Science, Information Technology, or related field
Strong experience in software/data engineering roles, with at least 5 years in Python development
Strong experience in SQL, data modeling, and ETL frameworks
Proficiency in Python libraries such as Pandas, NumPy, PySpark
Experience with cloud platforms (AWS, GCP, or Azure) and tools like BigQuery, Airflow, or Databricks
Excellent problem-solving, communication, and stakeholder management skills
Nice to have:
Familiarity with financial regulations and reporting standards would be a plus
Exposure to BI tools like Power BI, Tableau, or Alteryx