AVP, Credit Ratings, Structured Finance Analytics - Chicago Illinois

Company: CFA Institute
Location: Chicago, Illinois
Posted On: 11/07/2024

The Team:
Morningstar DBRS is a global credit ratings business with about 800 employees in eight offices globally. Formed through the acquisition of DBRS by Morningstar, Inc., the credit ratings business is the fourth largest provider of credit ratings in the world. Morningstar DBRS is committed to empowering investor success, serving the market through leading-edge technology, and raising the bar for the industry. Morningstar DBRS is a market leader in Canada, the U.S. and Europe in multiple asset classes. Morningstar DBRS rates more than 4,000 issuers and 56,000 securities worldwide, and is driven to bring more clarity, diversity, and responsiveness to the ratings process.
About the Role:
Morningstar DBRS Structured Finance Analytics supports Global Structured Finance (GSF). Its Data Analytics team is responsible for supporting the delivery of analytical content to GSF rating teams operating in North America and Europe. To further support strategic pan-GSF initiatives, the Data Analytics team is looking for an Assistant Vice President, experienced in managing and delivering complex data projects, to support the team's goals of enhancing analytical competencies, promoting common efficient data processes and strengthening GSF's alignment with Credit Operations.
These initiatives primarily involve assessing and exploring existing data sources within Morningstar DBRS's Credit Data Lake, supporting their integration to a Morningstar DBRS data warehouse (Credit Data Hub), developing a common or tailored presentation layer using Tableau and formulating a post-implementation support framework for applicable business processes.
This role requires a balance of credit ratings experience, project management experience, supervisory skills, effective stakeholder engagement, written and verbal skills, a focus on quality assurance alongside a forward-thinking technical mindset.
This role will provide exposure to multiple structured finance asset classes across GSF as well as opportunities to work with Credit Operations and Credit Technology to design, prioritize and manage approved workstreams.
Responsibilities:

• GSF delivery and implementation of strategic data analytics initiatives as described above.
  
• Supervision of members of the Data Analytics team.
  
• Act as a business partner between the Data Analytics team and Credit Operations.
  
• Act as a business partner between the Data Analytics team and GSF rating teams.
  
• Manage the development of data analytics governance (e.g., analytical process flows, change management, data analytics documentation, data dictionaries).
  
• Support other SFA teams with associated data pipelines and data governance, as required.
  
• Ensure compliance with all applicable policies and procedures.
  
  Requirements:
  
  
  
  • Operational credit ratings experience, ideally across multiple asset classes.
    
  • Software development experience with exposure to Athena, Tableau, SQL; knowledge of Python.
    
  • Demonstrable change management and project management experience.
    
  • Supervisory experience considered positively.
    
  • An in-depth understanding of structured finance data sets as well as economic and financial data, ideally in various structured finance market segments.
    
  • A good listener, able to translate stakeholder requirements to precise, clear technical specifications.
    
  • Demonstrable experience integrating large, structured data sets into existing business processes.
    
  • Excellent written and oral communication skills.
    
  • A passion for high-quality analysis and interest in creating standardized, efficient processes.
    
  • Good inter-personal skills with the ability to lead a group of analysts on strategic deliverables.
    
  • Creative thinker who is adept at taking an analytical approach to problem solving.
    
  • Highly motivated, self-starter with a positive attitude to process change and improvements.
    
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