Jobs at S&P Global

Leads APAC communications for S&P Global Energy by developing regional strategies, managing media relations, crafting internal and external content, coordinating interviews and events, measuring communications performance, and supporting crisis communications. The role builds relationships with journalists, analysts, influencers, senior leaders, and subject matter experts while translating complex energy and commodities market dynamics into compelling narratives.

Creates and edits video and audio content for S&P Global's brand, including live broadcasts, pre-recorded projects, animations, and multimedia marketing campaigns. Develops concepts, storyboards, motion graphics, and 3D animations while applying strong design fundamentals and brand guidelines. Collaborates with creative teams and stakeholders, incorporates feedback, explores AI-enabled workflows, manages vendor relationships, and translates complex topics into compelling visual stories.

Develop and maintain customized financial reporting models for CLO compliance, translating legal deal terms into calculations and reports. Use Python, SQL, Excel, databases, and proprietary software to configure, test, automate, and validate models. Manage client relationships, gather requirements, coordinate deliverables, train end users, and provide software support. The role also requires detailed financial analysis, data validation, project management, and collaboration with financial institutions and investment professionals.

Collect, extract, cleanse, validate, enrich, and document financial data for Compustat Fundamentals datasets. Follow SOPs, apply quality checks and reconciliations, resolve or escalate anomalies, maintain data traceability, support UAT, and contribute to process improvements. The role requires attention to detail, financial statement literacy, basic Excel and SQL skills, and the ability to work accurately with structured and unstructured sources.

Performs business analysis and product enhancement work for post-trade securities and corporate actions platforms. Elicits client requirements, defines functional specifications, identifies process gaps, designs target-state configurations, and coordinates with product, technology, development, quality, and client teams. Supports testing, acceptance criteria, implementations, and client consultancy while managing multiple workstreams and maintaining stakeholder relationships. Travel to client sites may be required.

Supports global KYC onboarding and remediation projects for corporate and financial institution clients. Reviews entity structures, agreements, public-domain information, and screening alerts; performs alert disposition and risk assessment; escalates issues; maintains quality and productivity standards; supports process improvements and compliance initiatives; and coordinates with internal teams to complete implementations on schedule.

Software engineering interns contribute to production features, APIs, services, machine learning applications, data ingestion pipelines, and platform infrastructure. They participate in code reviews, deployment, observability, infrastructure as code, and engineering best practices while collaborating with experienced teams. Interns also receive opportunities for technical learning and cross-team exploration. The role requires algorithmic knowledge, software development experience through projects or open source, adaptability, and strong coding, documentation, and communication skills.

Lead the design, development, and deployment of scalable machine learning and generative AI solutions. Partner with stakeholders, data scientists, and software engineers to build AI platforms, tooling, agents, and autonomous workflows. Analyze large datasets, optimize and fine-tune models, apply emerging AI technologies, and establish reusable capabilities and technical standards across the organization.

Develop and deploy machine learning solutions for generative AI platforms, LLM-powered applications, and AI toolkits. Interns will solve agentic design and LLM orchestration challenges, prototype and evaluate models, develop pipeline components, and support deployment across the ML lifecycle. The role involves collaboration with ML engineers, product managers, designers, and full-stack engineers, with mentorship and opportunities to work on scalable, production-ready systems.

Administer syndicated loan portfolios across their lifecycle, including borrowings, paydowns, amendments, accruals, pricing, fees, and cash management. Interpret credit agreements and assignment documents, validate loan calculations, respond to client, borrower, and lender inquiries, manage work items against KPIs, minimize operational risk, and support process improvements and business initiatives.

Build and maintain data integration workflows and pipelines supporting index calculation, reporting, and analytics. Translate business requirements into Python and SQL solutions, automate repeatable processes, apply data validation and quality controls, monitor pipeline reliability, troubleshoot operational issues, and document workflows. Collaborate with stakeholders across business, operations, technology, and analytics to improve data quality, efficiency, and operational resilience.

Build, test, deploy, and integrate production-ready AI applications, including LLM integrations, prompt workflows, and data-driven solutions. Support AI integration with data pipelines and business systems, perform evaluations and quality checks, troubleshoot deployments, and create reusable code, documentation, and implementation guides. Collaborate with AI experts, data teams, subject matter experts, and business stakeholders to advance responsible AI adoption.

Collects, validates, analyzes, extracts, and enters private equity and venture capital data according to established guidelines. Conducts secondary and thematic online research, meets quality and productivity targets, troubleshoots issues, supports teammates, and contributes ideas for workflow, process improvement, Lean, automation, and product enhancements. The role requires Chinese proficiency, strong analytical skills, attention to detail, teamwork, adaptability across shifts, and effective communication.

Supports and expands enterprise Anaplan adoption through user support, requirements gathering, solution design, testing, deployment, workspace administration, and performance optimization. Manages Azure infrastructure and Microsoft Fabric data pipelines while ensuring secure, reliable analytics and integrations. Partners with stakeholders and vendors on data architecture, development roadmaps, communications, training, dashboards, and go-live activities. The role also owns testing plans and supports visualization through Power BI and Tableau.

Leads product strategy, roadmap execution, and lifecycle management for S&P Global’s Credit Analytics and RiskGauge products. Oversees AI-ready data and model strategy, PI Planning within SAFe, cross-functional delivery, product operations, support functions, and stakeholder feedback. Manages Product Owners and product operations staff while driving roadmap prioritization, delivery outcomes, and growth across credit risk analytics platforms, APIs, data feeds, and enterprise products.

Develops regional channel strategies, manages partner relationships, recruits and onboards new partners, and drives partner-sourced pipeline and revenue. Collaborates with Sales, Marketing, and leadership on joint go-to-market plans, campaigns, events, webinars, and enablement. Maintains CRM records and pipeline visibility while meeting revenue targets.

Owns a new-business sales target for Continental Europe, identifies prospects and cross-sell opportunities, and develops regional go-to-market strategies. The role requires selling sustainability solutions, translating ESG frameworks into client value propositions, managing CRM pipelines, leading client meetings and demos, and representing the company at European client visits and industry events.

Monitor sales performance and key metrics; support month-end close and commission processes; maintain territory, account, and system data accuracy; produce reports for sales, management, and finance; assist with process improvements, data governance, system updates, sales initiatives, and cross-functional projects.

Collect, analyze, extract, summarize, and enter financial data from public and internal sources. Monitor industry publications and news aggregators, follow dataset workflows and tool guidelines, meet quality and productivity targets, troubleshoot process issues, and communicate with colleagues and managers across global time zones. The role is a 12-month apprenticeship involving rotational shifts, including nights, and supports research teams within the Enterprise Data Organization.

Owns the roadmap for a Private Markets product area, including vision development, feature prioritization, user stories, requirements, and product documentation. Leads and coaches an agile scrum team while partnering with Engineering, Testing, UX, Marketing, Implementation, and Sales. The role focuses on delivering B2B SaaS solutions for private equity, credit, venture capital, real estate, and other institutional investment managers.