Jobs at S&P Global

Lead client-facing operations for leveraged loan and high-yield portfolio management services. Manage team strategy, client task management, issue resolution, training, reporting, product demos, and roadmap prioritization. Partner with Product and internal teams to streamline processes, improve service offerings, and complete special projects to enhance client experience.

Manage relationships with financial institutions, drive client retention, identify business opportunities, and engage clients through strategic planning and communication.

Support and enhance S&P Global's Financial Risk Analytics library by implementing and validating risk factor simulation models, cross-asset pricing and xVA/CCR calculations; collaborate with internal teams and clients in English and Japanese; test methodologies and assess regulatory impacts.

Design, build, and maintain scalable data pipelines and ETL processes using distributed and cloud-based analytics platforms. Implement real-time stream processing solutions, develop data-intensive applications, provide production support, and collaborate cross-functionally to translate business needs into robust technical solutions.

The Global Head of Index Build Technology Portfolio will redesign the technology platform for S&P Dow Jones Indices, focusing on automation and scalability, mentoring talent, and partnering with business leaders on technical strategy.

The Global Head of Commercial Technology Portfolio will lead the technology ecosystem for client engagement, manage data delivery and CRM systems, drive revenue enablement, and foster a customer-centric culture.

Design, develop, test, and support Workday integrations (inbound/outbound) following SAFe/Agile SDLC. Ensure data security/privacy/quality, translate business specs to technical designs, perform unit/integration testing, and troubleshoot production integration failures.

Lead design and development of high-performance fixed income calculation engines and services. Collaborate with cross-functional teams, drive architecture and technical excellence, mentor engineers, modernize systems, and implement end-to-end data lineage, reconciliation, anomaly detection, reproducibility, auditability, and versioning across analytics models and data pipelines within an Agile product-focused environment.

Manage and grow relationships with non-financial corporate clients by driving product adoption, identifying upsell opportunities, delivering custom demos and training, and coordinating internal teams. Develop strategic account plans, forecast and report on account health, and ensure high engagement and retention of S&P Global solutions.

The Senior IT Audit Manager is responsible for leading technology audits, managing stakeholder relationships, and ensuring compliance in IT and cybersecurity. This role requires expertise in identity and access management, technology audit execution, and strategic initiatives.

Onboard clients to S&P Global's portfolio monitoring platforms, validate and review Private Equity LP financial data from statements (SOI, PCAP, calls/distributions), identify and prevent data gaps, build Excel reports integrated with platforms, support client reporting choices, and perform periodic quality checks and automation improvements.

Support investor targeting and roadshow reporting by processing client requests, conducting market and investor research, producing timely investor intelligence reports, maintaining data trackers, resolving production issues with product/support teams, and ensuring SLAs while working night shifts.

Own vision, strategy, and roadmap for ServiceNow HRSD, Service Catalog, ITSM, platform integrations and AI capabilities. Drive integrations, upgrades, governance, KPIs, agile delivery, stakeholder alignment, vendor management, and mentor PMs to deliver scalable, user-centered service delivery.

Sell S&P Global Market Intelligence credit and risk solutions to financial institutions across DACH. Build client relationships, identify growth and cross-sell opportunities, manage pipeline and forecasts, run sales campaigns, collaborate with product and support teams, meet quotas, and support commercial outcomes. Required to work from office at least two days per week.

Lead and mentor engineering teams to design, architect, and deliver scalable, resilient cloud-native systems. Drive end-to-end architecture, integrate semantic data models and event-driven systems, oversee DevOps/cloud engineering, collaborate with stakeholders, produce technical designs, monitor system performance, and resolve client/internal issues while building high-performing teams.

Lead strategy and execution of AI, automation and GenAI initiatives for Finance. Partner with finance leaders and technology teams to discover opportunities, design and deploy AI/NLP solutions, define governance, measure KPIs/ROI, and drive stakeholder adoption and ethical, compliant implementation.

Design, implement, and maintain enterprise client-facing applications using React, .NET, and SQL Server. Perform analysis, design reusable engineering solutions, optimize database performance, conduct code/design reviews, mentor engineers, and manage multiple priorities.

Lead design and build a scalable, high-performance cloud platform for large-scale data storage and processing. Drive Java/J2EE and Python development, implement AI/ML and LLM-based solutions (RAG, LangChain, LlamaIndex), and deploy services on AWS (Lambda, ECS, SageMaker, Bedrock). Collaborate with product, deliver POCs, enforce CI/CD and testing, and automate data operations for financial applications.

Lead Salesforce product delivery for Customer Experience: gather stakeholder requirements, write user stories, prioritize backlog, plan and drive sprints, partner with Salesforce support, track KPIs, and implement roadmap features to increase platform value and operational efficiency.

Lead research and analysis of US state utility regulation and utility financial performance. Own proprietary datasets and analytical frameworks, produce comparative evaluations and thought leadership, leverage advanced analytics and AI tools, engage clients and stakeholders, mentor junior analysts, and recommend strategic enhancements to research processes and products.