Jobs at Morningstar

Support global demand generation by administering Salesforce and Pardot, maintaining contact data integrity, cleansing and segmenting contact databases, supporting outbound marketing campaigns, analyzing campaign performance, and leading projects to automate workflows and produce reports that demonstrate business impact.

Design and build cloud-native microservices, REST APIs, and highly available backend services supporting large-scale data requests. Translate business requirements into scalable platform solutions, contribute to architecture modernization, and uphold engineering practices including testing, observability, CI/CD, and code reviews. Troubleshoot production issues, improve reliability, and evaluate emerging data engineering and generative AI technologies. Mentor colleagues and collaborate across technical and business teams.

Build and operate applied AI systems, including LLM integrations, agentic workflows, data pipelines, evaluation frameworks, MCP tools, APIs, and governed content-serving layers. The role emphasizes production reliability, provenance, security, cost and latency management, regression detection, and human-reviewed AI outputs. Responsibilities include cloud deployment, structured content modeling, telemetry, governance, mentoring, and collaboration on AI standards. Strong Python, TypeScript, AWS, API, data pipeline, and production LLM experience are required.

Build and operate production applied AI systems, including LLM integrations, agentic workflows, data pipelines, evaluation frameworks, APIs, MCP tools, and governed content-serving layers. Develop reliable extraction and classification agents, model evaluation harnesses, telemetry, and structured data pipelines. Ensure security, privacy, provenance, reliability, latency, and cost controls while mentoring engineers and contributing to AI governance and standards.

Performs Structured Finance security mappings, data quality controls, reconciliations, regulatory dataset validation, and data issue resolution. Maintains metadata, data dictionaries, and data lineage while supporting data governance and AI-ready initiatives. Collaborates with Data, Credit Operations, Technology, and global stakeholders to ensure accurate, complete, timely, and compliant ratings and regulatory data.

Provides legal counsel for Canadian structured finance and securitization transactions. Reviews transaction documentation, identifies legal and reputational risks affecting credit ratings, advises analysts and rating committees on legal issues and methodology exceptions, communicates with issuers and advisors, supports policies and procedures, and monitors legislative and case law developments. Requires expertise in secured lending and corporate commercial law, with Canadian insolvency and securitization experience beneficial.

Own the roadmap and backlog for managed investment calculations. Translate investment methodologies and business needs into calculation specifications, requirements, user stories, and acceptance criteria. Analyze complex datasets with SQL, prototype and validate calculations, investigate discrepancies, and collaborate with research, engineering, QA, and stakeholders to ensure accurate production implementation. Prioritize enhancements, manage methodology changes, document calculations, monitor quality and adoption, and communicate delivery risks.

Lead analyst responsible for managing a portfolio of Canadian banks, non-bank financial institutions, and credit unions. Perform ongoing financial and credit analysis, prepare rating committee presentations, reports and press releases, attend issuer meetings, participate in rating committees, and maintain client relationships. Produce surveillance, research, and written analysis while collaborating with the ratings team.

Analyze Canadian structured finance transactions, including collateral, deal structures, legal documentation, financial models, and cash-flow engines. Support rating committee presentations, reports, press releases, research, and credit recommendations. Build relationships with clients and external stakeholders while developing expertise in structured finance methodologies for ABS and ABCP transactions.

Build and operate production AI applications and shared platform capabilities using AWS Bedrock and Python. Develop AI agents, MCP servers, APIs, distributed services, retrieval architectures, orchestration frameworks, and evaluation systems. Partner with technical and business stakeholders to identify AI opportunities, modernize existing applications, and integrate AI into enterprise workflows. Influence architecture and engineering standards while supporting delivery planning and mentoring less experienced engineers.

Lead credit analysis and ratings coverage for Canadian real estate issuers. Perform financial statement analysis, forecasts, legal document review, prepare rating committee materials, produce reports and commentary, refine methodologies, mentor junior analysts, build stakeholder relationships, and represent the firm at industry events while adhering to regulatory and compliance requirements.

Build and maintain Python-based, cloud-native data pipelines and file delivery systems on AWS. Design scalable delivery for CSV/Parquet/JSON via S3, SFTP, and data marketplaces. Implement data quality, monitoring, CI/CD, and migrate legacy feeds to cloud architecture. Contribute to web-based monitoring/configuration, documentation, reviews, and production support.

Lead credit analyst for North American public finance ratings, performing issuer and industry research, financial statement analysis, producing credit reports, engaging issuers and investors, mentoring junior analysts, and ensuring regulatory compliance.

Design and maintain CI/CD pipelines and AWS infrastructure using IaC; manage containerized deployments (Docker, ECS/EKS); provide on-call incident triage and post-incident reviews; lead reliability, disaster recovery, and security efforts; implement monitoring and automation (Splunk, CloudWatch, New Relic); write automation scripts in Python/Bash; document runbooks and collaborate with global teams.

Build and maintain full-stack web applications using Vue.js/Nuxt 3, TypeScript, Node.js, and AWS. Implement SSR, reusable components, Node APIs and integrations with headless CMS and third-party platforms. Contribute to AI-enabled marketing workflows, performance, accessibility, SEO, testing, monitoring, and troubleshoot across browsers, APIs, CMS, and cloud infrastructure. Participate in code reviews, documentation, and cross-functional planning.

Lead architecture and implementation of a unified, cloud-native data feed platform. Design scalable ingestion, transformation, and delivery pipelines; establish DataOps, governance, monitoring, CI/CD, and performance best practices; mentor engineers and influence cross-team technical strategy.

Lead development and execution of enterprise data controls and governance. Assess controls, close gaps, implement data quality checks and monitoring, define standards and documentation, support platform migrations and AI initiatives, partner with cross-functional teams, and manage/coaching a team of data analysts to ensure regulatory-compliant, high-quality data.

Produce forward-looking, objective research and ratings on funds and other investment vehicles. Conduct quantitative and qualitative analysis using Morningstar databases, interview managers, monitor regulatory information, perform on-site due diligence, and contribute to analytical tools and thought leadership.

Senior institutional software sales role focused on growing Morningstar Direct in Canada. Responsibilities include prospecting, account expansion, product demonstrations, forecasting, pipeline management in Salesforce, negotiating and closing deals, and collaborating with Business Development, Client Solutions, Product, and Marketing teams. Requires relationship building, consultative selling, and travel to major Canadian cities (~30%).

Perform credit analysis and financial statement review for North American corporate real estate issuers; maintain financial models; prepare credit rating reports, committee materials, and industry research; support lead analysts, develop legal documentation knowledge, communicate with clients, and comply with regulatory and internal policies.