Role & responsibilities
- Lead complex initiatives related to business analysis and modeling, including those that are cross functional, with broad impact, and act as key participant in data aggregation, monitoring, and reporting of stress testing and portfolio analysis for Risk Analytics
- Review and analyze complex programing models to extract data and manipulate databases to provide statistical and financial modeling specific to businesses supported
- Manage the roll out of pilot programs developed as a result of programmed models for supported businesses and product line
- Contribute as a Subject Matter Expert (SME) to the Commercial/Consumer Lending Credit Risk team and execute on deliverables for projects with moderate to high risk for the Credit Risk organization.
- Responsible for production process execution, data reconciliation, and documentation in alignment with governance policies.
- Develop complex programming models to extract data and/or manipulate databases such as SQL Server, Oracle, Teradata, and Hive
Preferred candidate profile
- Knowledge and understanding of Commercial/Consumer Lending practices, policies, and procedures.
- Knowledge and understanding of the key factors impacting credit offerings, including credit risks and regulatory requirements.
- Understanding of risk management practices, extensive knowledge of financial data
- 5+ years of proficient experience in SAS or SQL
- Good to have experience in one of the visualization tools like Power BI or Tableau.
- Experience in Python
- Strong analytics skills and comprehensive understanding of financial services products and risk drivers
