Business Execution Consultant supporting infrastructure functions within Wells Fargo's Wealth & Investment Management division. Involves execution support and collaboration with branch leadership and governance partners.
About the role
- Digital Analytics Consultant optimizing digital strategies through data analysis and improving customer insights. Focus on credit risk management in the banking sector with team collaboration.
Responsibilities
- Analyze large-scale digital datasets including clickstream data to identify trends, user behavior patterns, and performance improvement opportunities.
- Develop, maintain, and optimize SQL and SAS code to ensure efficient data extraction, transformation, and reporting processes.
- Perform regular code reviews, validation, and optimization to enhance performance, accuracy, and scalability of analytics workflows.
- Implement and manage change control processes to ensure proper documentation, version control, testing, and deployment of analytics code and reporting solutions.
- Ensure compliance with data governance policies, including PII masking, data privacy standards, and secure handling of sensitive information.
- Build and maintain robust data models and reporting frameworks using Power BI, with strong understanding of data modeling, DAX, and dashboard performance optimization.
- Troubleshoot data issues, perform root cause analysis, and apply strong problem-solving skills to resolve complex technical and data challenges.
- Collaborate with cross-functional teams to understand data requirements, validate outputs, and ensure accuracy and consistency across reporting systems.
- Continuously improve data processes, automation, and documentation to enhance operational efficiency and reliability.
Requirements
- A degree in Statistics, Mathematics, Computer Science, or a related field. (IIT/NIT preferred)
- Minimum of 5 years of experience in credit risk management, with a focus on strategy development. Previous experience of analytics consulting in Banking Domain.
- Strong proficiency in SAS, SQL, Databricks and Python is essential. Hands-on experience with AWS SageMaker, Snowflake, PowerBI.
- Strong analytical and problem-solving skills. Past experience in statistical analysis and financial modeling.
- Excellent understanding of credit risk principles, regulatory requirements, and industry best practices.
- Proven ability to develop and implement effective credit risk strategies.
- Strong communication and interpersonal skills, with the ability to collaborate effectively with stakeholders at all levels. Leadership experience with a track record of managing and developing high-performing teams.
Benefits
- Health insurance
- Professional development
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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