AVP, Structured Finance Analytics | Data-Driven Ratings

Morningstar

Madrid

Hybride

EUR 63 000 - 92 000

Plein temps

Il y a 10 jours

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Avantages offerts par ce poste

Hybrid work model

Benefits package

Résumé du poste

Morningstar DBRS' Structured Finance Analytics team seeks an Assistant Vice President with structured finance ratings experience to drive data analytics initiatives across global rating teams. You will connect structured finance knowledge with data, technology and process innovation to deliver scalable, governance-led analytical solutions.

You will lead data integration projects, build dashboards using Tableau or Python, and collaborate across Ratings, Operations and Technology to embed

Qualifications

Minimum 3 years of structured finance experience.
Demonstrated experience 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.
Working knowledge of data-analysis and visualisation tools such as SQL, Tableau or Python, together with the confidence and curiosity to develop further technical capability.
Strong project-management skills, including the ability to define scope, prioritise work, manage dependencies and deliver through multiple stakeholders.
Excellent listening, written and verbal communication skills, with the ability to translate business needs into clear technical requirements and explain complex topics to non-technical audiences.
Strong interpersonal skills, with the ability to motivate colleagues, build trust and coordinate delivery across functions, locations and levels of seniority.
A rigorous approach to quality assurance, problem solving and continuous improvement.
A proactive, adaptable and collaborative mindset, with enthusiasm for using data, automation and approved AI tools to improve analytical outcomes.

Responsabilités

Lead the design, prioritisation and delivery of strategic data analytics initiatives across Global Structured Finance, from discovery and requirements through implementation and post-launch support.
Partner with rating teams to understand analytical needs, identify scalable solutions and support adoption across asset classes and regions.
Work closely with Credit Operations, Credit Technology and other partners to define requirements, coordinate dependencies, manage risks and deliver agreed outcomes.
Support the development of other Data Analytics colleagues by contributing to objective setting, providing coaching and feedback, and creating opportunities for growth and ownership.
Evaluate large, structured datasets; assess data quality and fitness for purpose; and guide their integration into governed analytical workflows.
Development of dashboards, automated analysis and presentation layers using Tableau, Python or other approved tools.
Establish and maintain robust data analytics governance, including process flows, data dictionaries, documentation, testing, change management, quality controls and support models.
Deliver scalable solutions that improve operational efficiency, reduce operational risk and enhance analytical capabilities, while balancing global standards with asset-class or regional requirements.
Support responsible experimentation with approved AI tools, ensuring outputs are appropriately reviewed, validated and used in line with applicable policies.
Communicate progress, decisions, risks and outcomes clearly to stakeholders and senior management.
Ensure all work complies with applicable credit-rating policies, procedures, regulatory requirements and internal controls.