Assistant Vice President, Structured Finance Analytics

About the role

Morningstar DBRS's Structured Finance Analytics team supports Global Structured Finance rating teams across North America, Europe and APAC. The Data Analytics team turns complex data into reliable analytical content, scalable workflows and decision-ready insights. This Assistant Vice President role leads data analytics initiatives across Global Structured Finance, working with rating teams, Credit Operations and Credit Technology, and helping the team adopt approved AI tools responsibly.

Key responsibilities

• Lead the design, prioritisation and delivery of strategic data analytics initiatives, from requirements through implementation and post-launch support.
• Partner with rating teams to understand analytical needs and support adoption across asset classes and regions.
• Work with Credit Operations, Credit Technology and others to define requirements, coordinate dependencies, manage risks and deliver outcomes.
• Support Data Analytics colleagues through coaching, feedback and growth opportunities.
• Evaluate large structured datasets, assess data quality and guide their integration into governed workflows.
• Build dashboards, automated analysis and presentation layers using Tableau, Python or other approved tools.
• Establish data analytics governance, including process flows, data dictionaries, documentation, testing, change management and quality controls.
• Deliver scalable solutions that improve efficiency and reduce operational risk, while supporting responsible use of approved AI tools.
• Communicate progress, risks and outcomes to stakeholders and senior management, and comply with credit-rating policies and regulations.

Required profile

• Minimum 3 years of structured finance experience.
• Proven track record leading complex data, analytics, process-improvement or technology-enabled change initiatives from concept to implementation.
• Experience integrating large structured datasets into business or analytical processes, with a strong understanding of data quality, controls and documentation.
• Strong project-management, communication and interpersonal skills, and a rigorous approach to quality assurance and continuous improvement.
• Preferred: supervising or coaching analysts, hands-on exposure to structured finance data across several asset classes or jurisdictions, cloud data environments, change-management methods and modern automation or AI tools.

Required skills

• Working knowledge of SQL, Tableau or Python, with willingness to develop further technical capability.
• Ability to translate business needs into technical requirements and explain complex topics to non-technical audiences.

What we offer

• Base salary of EUR 63,400 to 92,133, with a 20% annual bonus target.
• Hybrid work, typically four days in office per week.