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Develop and maintain quantitative credit risk models and analytical tools for structured finance transactions, including ABS, CMBS, RMBS, and structured credit. Responsibilities include proprietary research, Python and C++ library development, statistical and predictive modeling, large-scale data analysis, model validation, analytics solution design, and technical research writing. The role collaborates with credit ratings, methodology, data engineering, and technology teams to improve rating methodologies and support analyst decision-making.

Leads credit practices for Asset Finance, serving as a subject-matter expert across Project Finance, PPP, Infrastructure, and related sectors. Responsibilities include guiding methodology application, advising on complex credit issues, chairing rating committees, identifying macroeconomic and systemic risks, contributing to thought leadership, maintaining credit methodologies, and mentoring analytical teams.

Senior Vice President serving as an Asset Finance credit subject-matter expert. Responsibilities include guiding methodology application, chairing rating committees, analyzing macroeconomic and sector risks, supporting cross-sector credit assessments, developing methodologies, contributing thought leadership, and mentoring analytical teams.

Leads and mentors a software engineering team while designing, implementing, and maintaining scalable full-stack systems. Responsibilities include enhancing distributed web-crawling and information-extraction systems, using cloud technologies, establishing software development and DevOps practices, designing RESTful APIs, collaborating with Product, UX, and Data Science, reducing technical debt, and driving AI-assisted development adoption.

Leads credit rating analysis for complex commercial, esoteric, and emerging asset-backed securities transactions. Responsibilities include evaluating transaction structures, collateral, originators, servicers, legal documentation, and structural protections; presenting recommendations to rating committees; managing transaction teams; mentoring analysts; monitoring outstanding transactions; developing methodologies; authoring research; and representing Morningstar DBRS with market participants.

Develop and launch benchmark, thematic, factor, strategic beta, and multi-asset indexes from concept through market release. Conduct quantitative research, machine learning, back-testing, portfolio construction, risk analytics, and statistical testing. Build AI-enabled tools, prototypes, dashboards, and automated workflows while translating complex investment concepts into methodologies, research, presentations, and client-facing narratives. Collaborate with research, product, technology, operations, and commercial teams.

Research and analyze managed investment data, translating business methodologies into data, process, and technology solutions. Design data flows, interfaces, backend logic, and quality controls; conduct feasibility and impact analyses; document requirements; coordinate implementations; communicate risks; and support data-processing improvements across global teams.

Lead and mentor an IAM engineering team to design, build, and operate enterprise identity solutions on Okta and Microsoft Entra ID. Drive architecture, automation (Okta Workflows, PowerShell), SSO/MFA, identity governance, hybrid AD integration, application integrations (SAML/OAuth/OIDC/SCIM), incident escalation, documentation, and cross-team collaboration to ensure platform security, scalability, and reliability.

Processes and maintains global investment data, ensuring accuracy, completeness, coverage, and timely delivery. Collaborates with global data teams, fund companies, and internal clients; manages data acquisition relationships and issue resolution. Develops analytical tools, improves procedures, documents use cases, and translates client requests into specifications and user stories. The role requires fluent English and French, financial industry knowledge, strong organizational skills, and proficiency in Microsoft Excel.

Create and optimize investing content across social media, newsletters, video, and visual formats. Develop graphics, carousels, charts, scripts, newsletter content, and on-camera videos; translate complex financial topics for individual investors; identify high-potential stories; use audience performance data to improve content; and collaborate with editorial, design, video, research, and corporate social teams while maintaining editorial accuracy and consistency.