S&P Global

Analyst

• Lead audits and provide risk assurance for analytical and operational activities within key regulated businesses.
• Assess and report on the quality of analytical practices and operations within S&P Global Ratings, S&P DJI and other S&P Global divisions.
• Design and conduct tests related to various aspects of the analytical process and provide insights on sector and regional risks.
• Leverage advanced analytics and emerging technologies, including generative AI, to drive audit execution.
• Monitor Management Action Plans for timely and satisfactory completion.
• Prepare Audit Reports and other communications for the Global Head for Regulated Businesses and the Chief Auditor, focusing on key systemic issues and trends.
• Assist with Board presentations, as requested.

Credit Risk Analyst – Senior Manager, Internal Audit

Graphics Designer

• Conceptualize, design, and produce data visualizations, infographics, social media images and other digital assets to support our research and insights publications, demonstrating proficiency in your specialized field.
• Page layout, design, and desktop publishing for a range of report formats while performing work effectively under general guidance.
• Ensure design outputs conform to global standards in terms of format, house style, and brand specifications, showing attention to detail to identify issues that others may miss.
• Collaborate with editors and authors to enhance the customer experience, while adhering to design and visualization best practices and actively participating in collaborative efforts.
• Project manage design jobs from submission through to publication, demonstrating ability to prioritize tasks based on importance and urgency.
• Act as an internal brand advocate across design and publishing while interpreting technical information to aid understanding.
• Apply impeccable attention to detail and workflow processes to ensure error-free publication under tight deadlines, using previous experience to identify appropriate courses of action.

Digital Content Producer – Graphic Designer

Software Engineer

• The Software Development Apprentice role is designed for early-career graduates who are passionate about software engineering, problem-solving, and building technology solutions in a collaborative environment.
• The apprentice will work with engineering teams to learn software development practices, contribute to application development, and gain exposure to modern technologies, coding standards, and enterprise-scale systems.
• Assist in the design, development, testing, and maintenance of software applications.
• Write clean, efficient, and maintainable code under the guidance of senior engineers.
• Participate in requirement discussions, sprint ceremonies, code reviews, and technical documentation.
• Support debugging, troubleshooting, and issue resolution across applications.
• Collaborate with cross-functional teams including development, quality engineering, product, and operations.
• Learn and apply software development methodologies, engineering best practices, and secure coding principles.
• Contribute to proof-of-concepts, automation initiatives, and continuous improvement activities.
• Build familiarity with cloud platforms, databases, APIs, and modern development frameworks.

Apprentice, Software Development – Engineering

Financial Planning and Analysis

• Serve as the primary analyst on credit transactions and prepare well-supported rating recommendations for rating committees
• Conduct comprehensive credit analysis and in-depth research to evaluate creditworthiness of local government issuers
• Perform detailed financial statement analysis to assess fiscal health and credit risk factors
• Serve as an active, vocal voting member of the rating committee
• Publish timely and insightful credit reports as well as contribute to relevant research pieces
• Provide guidance and clarification to support the team in delivering quality work

Rating Analyst, Americas Public Finance – Local Governments Central

Data Scientist

• Architect data lake/lakehouse platforms for forecasting, anomaly detection, and BI/analytics using Databricks, Spark, and Delta-style patterns.
• Set and enforce engineering standards for data modeling, integration, and pipeline design across teams/products.
• Lead cloud event-driven/microservices architecture that integrates with web front ends and APIs.
• Design, build, and optimize batch and event-driven ELT/ETL pipelines for analytical and operational workloads.
• Build ingestion/transformation flows aligned to bronze/silver/gold, with validation, CI/CD, testing, and observability baked in.
• Implement scalable time-series forecasting training and inference across categories.
• Build model monitoring (RMSE/MAE/bias/coverage/residuals) with dashboards and automated alerts.
• Develop residual/outlier detection using Z-scores, PELT change points, and confidence-interval breach checks.
• Implement classification/risk-scoring models (e.g., Logistic Regression, Random Forest, XGBoost, clustering, HMMs) for anomaly classification and category risk.
• Automate data quality and schema validation (missing dates/targets, type changes, schema evolution, allocation shifts).
• Detect drift in data and model behavior (e.g., allocation stability, category mix changes).
• Deliver per-category anomaly flags and summarized insights for decision-makers.
• Provide technical leadership (code/design reviews, mentoring, knowledge sharing) for engineers and data scientists.
• Collaborate with product/UX/business to refine requirements, prioritize work, and plan roadmaps.
• Champion engineering excellence: quality, performance, and operational readiness.

Data Scientist III

Learning and Development

• Change Planning: Maintain the OCM support intake process to enable the team to plan and forecast project/product OCM needs
• Partner with key stakeholders (e.g., DTS Engagement, (User Experience, Intranet team, Corporate Communications, People team) to align strategy, audiences, timing, planning and delivery of OCM outputs (communications, training and stakeholder engagement.)
• Perform change impact assessments (process, role, technology, behavior) and capture lessons learned to continuously improve future change approaches.
• Track change deliverables and dependencies, ensuring risks/impacts are visible, owned, and addressed with project teams and impacted divisions to support a smooth transition to live service.
• Change Strategy Execution: Partner with DTS Engagement team and/or Corporate Communications to develop clear, consistent messages for a global employee audience.
• Execute the Organizational Change Management Plan, including sourcing and coordinating subject matter expertise (SMEs) and drafting the required communications, presentations, and digital messaging to drive adoption of technology services, enhancements, and upgrades.
• Support follow-up and delivery for key divisional initiatives, coordinating actions, timelines, and stakeholders to keep change activities progressing and unblocked.
• Establish change metrics and data collection methods (e.g., readiness, engagement, training completion, adoption indicators, feedback loops) and use insights to refine change tactics.
• Communications, Training & Content Development (Digital First): Design and produce end-user communications (emails, intranet news, system notifications), stakeholder engagement materials (surveys, presentations, talking points), and training deliverables (Quick Reference Guides, user manuals, how-to videos) in partnership with project teams and communicators.
• Conduct training needs assessments by user type/persona, mapping current-state materials and gaps to future-state behaviors and tasks.
• Create, edit, and maintain clear user-oriented documentation —including new digital communications/content and updates to existing documentation already in circulation—ensuring accuracy, consistency, and usability.
• Develop content spanning multiple documentation types, working with SMEs to gather and validate information, including: user instructions for deployment and day-to-day use reference information for technical features architectural and operational documentation (where appropriate for the audience) policy, process, and procedure documentation
• Support creation and management of content on the enterprise intranet, ensuring materials are findable, current, and aligned to communication strategy.
• SME & Cross-Functional Coordination (Global Execution): Work with SMEs to translate complex technical change into succinct, precise messaging (communications and documentation) so end users understand what’s changing, why, and how to engage successfully.
• Communicate effectively across multiple teams and time zones to elicit/clarify requirements, coordinate draft reviews, manage versioning, and obtain approvals/signoff.
• Coordinate with DTS teams to proactively communicate what DTS does (services, engagement pathways, policies/processes, “how to work with us”), keeping content fresh, updated, and relevant to strengthen internal understanding and stakeholder experience.

Lead, Organizational Change Management

Growth Marketing

• Shapes the long-term direction of Ratings’ non-core product portfolio (multi-year horizon), translating Ratings’ strategy into a unified product roadmap, investment priorities, and innovation pipeline that balances commercial growth, regulatory requirements, and evolving issuer and investor needs.
• Exercises enterprise-level influence across Ratings and partner divisions to align strategy, resolve competing priorities, drive cross-functional execution, and execute on Ratings OpCo’s mandate ensuring faster time-to-market, disciplined investment decisions, and scalable product innovation in support of the overall Ratings strategy.
• Drives the enablement agenda for Ratings by building the product and platform ecosystem that underpins service delivery, equipping internal teams with integrated tools and workflows that improve efficiency, strengthen client outcomes, and support the long-term evolution of the Ratings operating model.
• Run an efficient delivery process for existing, internal, and cross-divisional products, alongside a fail-fast frontier innovation process with explicit go / no-go criteria.
• Resolve competing customer persona priorities through a unified product mandate; escalate principal trade-offs to OpCo with clear options.
• Ensure that the product and platform strategy aligns with the broader Ratings technology roadmap; manage product interdependencies and act as the escalation point for product risks, issues, and constraints.
• Design and execute the handover playbook that transitions mature products into ongoing operational ownership.
• Deliver KPI and OKR dashboards, portfolio investment recommendations, and quarterly readouts to OpCo on speed, customer adoption, portfolio health, and regulatory posture.

Head of Growth and Enablement

Product Manager

• Oversee large multiple stakeholder and scrum team projects.
• Liaising with stakeholders such as project personnel, stakeholders, and end-users regarding project requirements.
• Outlining, defining, and initiating the project.
• Implementing document control policies, documentation templates, and change management progress.
• Maintaining a good working knowledge across multiple projects at different points in time.
• Maintaining communication between business stakeholders and technical scrum teams.
• Monitoring project progress and implementing changes where necessary.
• Liaise with Scrum Master and scrum team to groom and prioritize user stories.
• Ensuring compliance across functional objectives, organizational policies, procedures, and ensure team use cases.
• Compiling project reports and informing management and stakeholders regarding problems.
• Ensuring project complies with best practices, SOPs, PMO policies, and other policies.
• Managing a project with the scrum team from initiation requirements to deployment.

Salesforce Product Owner

Machine Learning Engineer

• Develop and implement machine learning models and algorithms for large scale machine learning projects.
• Collaborate with data scientists and software engineers to design and deploy scalable machine learning solutions.
• Conduct data analysis and feature engineering to extract valuable insights from large datasets.
• Optimize and fine-tune machine learning models to improve performance and accuracy.
• Stay up-to-date with the latest advancements in machine learning and apply them to enhance existing models.
• Collaborate with cross-functional teams to define project requirements and deliver high-quality solutions on time.

Associate Director, Machine Learning Engineer

Engineer

• Develop, implement, and continue to enhance ontologies, taxonomies, knowledge graphs, and related semantic artefacts for interconnected data, as well as topical/indexed query, search, and asset discovery.
• Provide thought leadership for strategic projects ensuring timelines are feasible, work is effectively prioritized, and deliverables met.
• Influence the strategic semantic vision, roadmap, and next-generation architecture.
• Execute on the interconnected data vision by creating linked metadata schemes to harmonize semantics across systems and domains.
• Analyze and implement knowledge organization strategies using tools capable of metadata management, ontology management, and semantic enrichment.
• Influence and participate in governance bodies to advocate for the use of established semantics and knowledge-based tools.

Senior Knowledge Engineer

• Develop, implement, and continue to enhance ontologies, taxonomies, knowledge graphs, and related semantic artefacts for interconnected data, as well as topical/indexed query, search, and asset discovery.
• Design and prototype data/software engineering solutions enabling to scale the construction, maintenance and consumption of semantic artefacts and interconnected data layer for various application contexts.
• Provide thought leadership for strategic projects ensuring timelines are feasible, work is effectively prioritized, and deliverables met.
• Influence the strategic semantic vision, roadmap, and next-generation architecture.
• Execute on the interconnected data vision by creating linked metadata schemes to harmonize semantics across systems and domains.
• Analyze and implement knowledge organization strategies using tools capable of metadata management, ontology management, and semantic enrichment.
• Influence and participate in governance bodies to advocate for the use of established semantics and knowledge-based tools.

Lead Knowledge Engineer – Semantic Web Technologies

Sales

• Develop and execute the commercial strategy for S&P DJI’s options-based and multi-asset index solutions across assigned buy-side clients, with accountability for pipeline development, revenue generation, and long-term franchise growth.
• Originate and close new business opportunities across index licensing for investment product issuance, index data usage, redistribution, with particular emphasis on solutions tied to derivatives overlays and multi-asset strategies.
• Serve as a specialist consultative seller for technically complex index solutions, translating client objectives into commercially viable index concepts and clearly articulating methodology, use cases, value proposition, and implementation considerations.
• Build and deepen relationships with Asset Managers and ETF sponsors.
• Work collaboratively across the sales team – including Bank Sales, Exchanges, Capital Markets, etc. – to effectively serve the derivative-based ETF ecosystem.
• Partner closely with Product Management and Research & Design to shape solution development based on market demand, client feedback, and emerging trends in options, volatility, and multi-asset investing.
• Support the commercialization of new and existing index solutions by helping define market positioning, client targeting, and sales enablement strategy for the multi-asset and options index suite globally.
• Lead complex commercial discussions and contract negotiations, including usage rights, licensing structures, and commercial terms, in close partnership with Legal, Finance, Product Management, and other internal stakeholders.
• Manage the full sales lifecycle, including opportunity origination, qualification, solution development, commercial negotiation, contract progression, internal approvals, and coordination of post-sale implementation support.
• Track and manage client activity through CRM tools, maintain pipeline visibility, and provide accurate forecasting, sales reporting, and market intelligence to leadership.
• Monitor client usage and evolving market activity to identify expansion opportunities, ensure commercial compliance, and stay ahead of trends affecting demand for index-linked products and data.
• Act as an internal leader and subject matter resource for the broader Sales organization by mentoring colleagues, sharing best practices, and helping elevate team capability in technically sophisticated index solutions.

Director, Asset Manager Sales, Multi-Asset & Options Indices

QA Automation Engineer

• Architect and develop SOAR playbooks and automated workflows to streamline incident triage, containment, and remediation processes, directly improving SOC efficiency and reducing mean time to response
• Build and maintain secure integrations across security, identity, and cloud platforms using APIs and custom code, ensuring scalable solutions that meet compliance and governance requirements
• Lead cross-functional collaboration with SOC, Detection Engineering, and Incident Response teams to identify automation opportunities and translate operational needs into technical solutions
• Deploy cloud-based security infrastructure using infrastructure-as-code practices, managing role-based access controls and supporting disaster recovery initiatives
• Incorporate cutting-edge AI technologies including Agentic AI and Large Language Models into security workflows to enhance decision-making and contextual understanding
• Produce executive-level reporting on automation performance metrics and ROI, presenting program effectiveness to leadership while supporting strategic security initiatives

Security Automation Engineer

Account Manager

• Serve as the primary client-facing partner for post-renewal contracting, procurement, and billing engagement, delivering a seamless commercial experience.
• Proactively manage commercial and procurement workflows to ensure invoice accuracy, timely payments, and overall account health, thereby reducing billing friction and preventing collections escalations.
• Partner closely with clients and internal stakeholders to address billing-related challenges, facilitate alignment across procurement and finance contacts, and proactively resolve issues impacting revenue realization.
• Act as a trusted advisor to both clients and Account Managers, ensuring a high-touch experience that supports long-term partnership growth and retention.
• Contribute to faster client payment cycles, reduced aging receivables, and a significant improvement in the overall client billing and payment process.

Account Management Specialist

• Support the end-to-end ratings process for new issue and surveillance transactions
• Perform cash flow analysis, synthesize results, and present findings in a timely manner in committees for securitization in Latin America and esoteric assets, including transportation ABS, private equity, triple net lease properties, data centers, time-share, and whole business securitizations
• Analyze credit, cash flow, and performance characteristics of collateral pools; review third-party model output and reconcile with cash flow results from internal models
• Review legal and operating documents to ensure consistency with criteria and identify issues with the transaction structure; provide comments to external parties
• Demonstrate strong knowledge of ratings criteria and cash flow analysis and effectively handle clients' analytical questions
• Take ownership of process improvements and contribute to the development of new analytical tools
• Leverage AI and automation tools to enhance analytical processes, including automated data extraction, pattern recognition in credit performance, and machine learning-assisted risk assessment models
• Contribute to team initiatives to improve efficiencies in the relative business area while resolving varied and non-routine issues