S&P Global

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

Financial Planning and Analysis

• 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

Rating Analyst – Structured Finance, U.S. Esoterics, Latin America

Director

• Complete 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
• Actively manage relationships with internal and external clients
• Demonstrate strong knowledge of ratings criteria and cash flow analysis and effectively handle clients' analytical questions
• Actively contribute to our training and outreach efforts, including the completion of timely commentaries, podcasts, and webinars
• Lead and mentor junior team members, providing guidance on complex analytical matters
• Take ownership of process improvements and contribute to the development of new analytical tools
• Represent S&P Global Ratings at industry conferences and client meetings as a subject matter expert
• Leverage AI and automation technologies to enhance analytical processes and improve efficiency in line with market best practices
• Demonstrate emotional intelligence by managing complex stakeholder relationships and fostering inclusivity across diverse teams
• Collaborate effectively across functions to build consensus and influence strategy development
• Manage multiple competing priorities and delegate responsibilities effectively to maximize team performance
• Adapt to changing market conditions and make informed decisions in complex analytical scenarios
• Bring innovative thinking to create data-driven solutions with long-term strategic perspective
• Communicate complex analytical concepts clearly across different audiences and cultures
• Provide strategic guidance and coaching to develop team members' analytical capabilities

Associate Director – U.S. Esoterics, Latin America

Procurement

• Create, refresh, and implement new or existing category strategies for all assigned sub-categories
• Lead high profile negotiations with large enterprise supplier partners, delivering maximum commercial benefit whilst ensuring business needs are met
• Build and maintain relationships with strategic vendors and internal stakeholders.
• Manage senior level stakeholder and appropriately challenge thinking, strategy or decisions by bringing strong commercial knowledge and market insights to bear
• Establish performance based professional service agreements spanning the IT managed service, Cloud, SaaS software, network, compute, data & analytics, and enterprise architecture capability spaces
• Translate business strategies into effective category & sourcing strategies.
• Achieve profit margin improvements through proactive sourcing approaches.
• Manage key supplier relationships and ensure performance, continuous improvement, and contract compliance.
• Develop and maintain tools and procedures for contract management.
• Facilitate resolution of contractual issues to minimize service disruptions.
• Track deliverables and obligations, ensuring compliance with agreements.
• Oversee the contract change process, ensuring all terms are met and risks are managed.

Director, IT Procurement – Contract Management

Program Manager

• Create project plans and monitor projects through governance structures.
• Manage day-to-day activities of assigned projects including requirements gathering, identification and monitoring of key success factors and metrics, risk/issue management, dependencies and workflows, communications, plan development and maintenance, and preparation of presentation materials.
• Manage relationships, resolve conflicts, and facilitate and manage the political aspects of stakeholder management.
• Develop business strategies, techniques, and tools to identify barriers to success and facilitate prevention strategies.
• Collaborate with colleagues across a global organization.
• Operate as a first line of communication with junior team members; propose resource allocation improvements.
• Work independently and make appropriate project-related decisions with as-needed guidance from the Group Leader.
• Proactively seek, document, and incorporate stakeholder and customer feedback.
• Recommend plan customizations, as appropriate, to best serve project needs.
• Work on sensitive projects or with sensitive data.

Analyst, Program Manager

• Identify and engage potential clients within the Financial Institutions and Corporates sectors.
• Present and demonstrate our data and research solutions to clients, highlighting their value and benefits.
• Build and maintain strong C-Suite relationships with new clients to ensure customer satisfaction and retention.
• Collaborate with senior sales representatives and other departments to develop effective sales strategies.
• Track sales activities and client interactions using CRM tools.
• Meet or exceed sales targets and objectives set by management.

Sales Director

AI Engineer

• Partner with product, engineering, data science, and business teams to integrate AI into core offerings across SPGI
• Work with executive leadership to prioritize AI investments and resource allocation.
• Engage with external stakeholders (partners, vendors, academia) to foster innovation and collaboration.
• Establish best practices for AI model development, deployment, and monitoring.
• Ensure ethical AI use, compliance with regulations, and mitigation of bias and risks.
• Develop policies for data privacy, security, and responsible AI adoption.
• Oversee AI pilot programs and scaling of successful initiatives.
• Define KPIs to measure AI impact on business performance.
• Drive AI adoption across the organization through training and change management.
• Establish monitoring frameworks for AI system to system performance and drift analysis.
• Develop governance models for ethical AI agent deployment and compliance.

Associate Director – AI Engineering

Product Manager

• Drive product strategy and roadmap for AI-powered solutions that integrate seamlessly with enterprise platforms such as Salesforce to enhance client business processes
• Collaborate with engineering, data science, and sales teams to translate complex market requirements into actionable product features that drive measurable client outcomes
• Manage product lifecycle including go-to-market strategy, pricing models, and performance metrics for AI solutions in enterprise environments
• Serve as the voice of the customer, gathering feedback and insights to continuously improve product offerings and user experience

Product Manager, Commercial AI Solutions

Data Scientist

• Develop and deploy large-scale ML and GenAI-powered products and pipelines.
• Own all stages of the data science project lifecycle, including: Develop, deploy, monitor, and scale models through the full Software Development Life Cycle into production (including both ML and GenAI services).
• Perform exploratory data analysis, proof-of-concepts, model benchmarking, and validation experiments for both ML and GenAI approaches.
• Partnering with business leaders, domain experts, and end-users to gather requirements and align on success metrics.
• Follow coding standards, perform code reviews, and optimize data science workflows.
• Evaluation, interpretation, and communication of results to executive stakeholders.

Associate Director, Machine Learning Engineer

Senior Knowledge Engineer

Lead Knowledge Engineer – Semantic Web Technologies

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

Security Automation Engineer

Account Management Specialist

Rating Analyst – Structured Finance, U.S. Esoterics, Latin America

Associate Director – U.S. Esoterics, Latin America

Director, IT Procurement – Contract Management

Analyst, Program Manager

Sales Director

Associate Director – AI Engineering

Director, IT Procurement – Contract Management

Product Manager, Commercial AI Solutions

Senior Data Scientist