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The role involves leading the development and management of systematic equity strategies, collaborating on ideas generation, portfolio construction, and compliance, while communicating performance to internal and external stakeholders.

The Assistant Vice President will conduct analysis and support senior analysts in assigning ratings for U.S. ABS transactions, focusing on various asset classes. Responsibilities include performance analysis, cash flow modeling, and legal document review, while collaborating with issuers and internal teams.

Drive revenue growth within strategic institutional accounts by expanding adoption of Morningstar Direct and related services. Build stakeholder relationships, identify opportunities, perform product demonstrations, forecast and negotiate deals, document activity in Salesforce, and meet growth targets. Requires collaboration with SVPs and travel across the U.S.

The Assistant Vice President will lead operational risk assessments for client companies, manage rankings, prepare reports, and maintain communication with clients and teams.

Drive revenue growth and expand Morningstar Direct adoption within large institutional accounts. Build stakeholder relationships, identify new opportunities, deliver product demonstrations, forecast, negotiate and close deals, document activity in SFDC, and travel ~30% while collaborating with SVPs to develop account growth plans.

Rapidly prototype and validate AI solutions for advisor workflows: integrate models, signals, and UX into experiments, test feasibility and performance, iterate with user feedback, document technical learnings, and hand off prototypes for productionization.

Provide global client support for Morningstar market data feeds and applications, troubleshoot and resolve inquiries, escalate to Level 2 as needed, document actions in Salesforce, follow up with clients, contribute to documentation and process-improvement projects, and support key clients alongside senior staff. Shift coverage and in-office presence required.

Lead product development and rationalization initiatives for investment offerings. Perform market and competitor research, author positioning, respond to RFPs, support cross-functional launches, drive product enhancements using performance attribution and analytics, and manage 3-4 key projects to support sales, marketing, and governance decisions.

Design, develop, and maintain scalable customer-facing web applications and RESTful APIs using Java and Spring Boot. Implement microservices and cloud infrastructure on AWS, manage data with SQL/Postgres and file-based stores, build CI/CD pipelines, monitor performance with New Relic/Splunk, write automated tests to Sonar standards, participate in code reviews, mentor engineers, and produce technical documentation and architecture diagrams.

Develop and validate expected-return and fundamental equity index models using supply- and demand-side frameworks. Build advanced econometric and time-series models (state-space, Bayesian MCMC, regime switching, copulas) to estimate latent variables and decompose risk. Construct Morningstar-based fundamentals, perform backtests, and apply cross-asset and term-structure analyses. Communicate results and integrate analyst-level risk information into portfolio processes.