S&P Global

Operations

• Apply strong technical skills and good business knowledge together with investigative techniques to identify and resolve issues efficiently and in a timely manner.
• Work collaboratively with development/product/Infra teams as required for third line escalation.
• Implement and monitor system checks for early detection of potential problems and raise the appropriate service outage ticket to initiate the incident management process when needed.
• Drive and engage in Business Continuity and Disaster Recovery processes for all products.
• Coordinate with product and delivery teams to ensure the Service Management team is ready for new releases and engaged in early design of new enhancements.
• Work on initiatives and continuous improvement process around proactive application health monitoring, reporting, and technical support.
• Support SoX type2 audit and DORA (Digital Operational Resilience Act) compliance requirements.

Lead, IT Service Operations

Financial Planning and Analysis

• Provide day-to-day guidance/coaching to Research Assistants and Rating Analysts, building capability in credit, data discipline, and tooling and reinforcing values-led behaviors.
• Drive consistency/scalability by codifying standard work and promoting disciplined adoption to strengthen trusted, repeatable insights.
• Strengthen AI-enabled productivity by creating reusable assets and proposing lightweight automations that free capacity for human analysis and relationship work.
• Foster continuous improvement by proposing enhancements that remove manual steps without compromising governance or judgement.
• Partner with senior team members and Data/Engineering to identify and scale AI/automation use cases with governance-by-design, controls, and adoption support.
• Lead end-to-end execution for assigned credits, ensuring high-quality analysis and timely delivery across priorities with clear accountability.
• Own surveillance/updates for assigned portfolio, synthesizing performance, market signals, and peer context into decision-useful insights and clear implications for risk.
• Prepare/review inputs, reconcile metrics, document assumptions/changes to ensure adherence to methodologies/standard operating procedures.
• Prepare/review key outputs ensuring clarity and alignment to methodology/sector frameworks and evidentiary standards.

Senior Analyst, US Public Finance – Housing

Business Development Rep

• We are seeking a commercially driven professional to lead and expand our relationships across traditional stock exchanges and digital asset (crypto) exchanges throughout Asia Pacific.
• This is a hybrid mandate that sits at the intersection of capital markets and exchange business development: part of the role is building and managing relationships with exchanges, clearing houses, market makers, and regulators; the other part is structuring and executing on new index listings, liquidity arrangements, and new trading venue partnerships — across both TradFi and digital asset rails.
• The successful candidate will be a senior dealmaker and relationship manager who is equally credible discussing an ETP IPO with an exchange's listings team as they are negotiating a token listing or liquidity partnership with a crypto exchange.
• You will represent the firm externally with exchange leadership, originate new partnership opportunities, and work closely with the commercial sales team, legal, compliance, and product teams to bring deals to execution.

Head of Exchange Business Development

Analyst

• Own and enhance business-critical BI solutions — including Actuals vs Forecast vs Plan reporting, hierarchy mapping, and drill-through analytics for leadership consumption.
• Build and operate end-to-end data automation using modern lakehouse and pipeline platforms (e.g., Microsoft Fabric) — designing notebooks, dataflows, and pipelines that power daily KPI validation, reconciliation, and refresh workflows across multiple reporting solutions.
• Write and optimize advanced Snowflake SQL to extract data; integrate Salesforce, data warehouses, SaaS APIs, and Excel sources into unified analytical models.
• Develop AI- and Copilot-powered solutions — including AI agents grounded in semantic models, AI Narratives for executive reporting, and Copilot-enabled experiences that improve discoverability and insight generation across analytics products.
• Partner with senior stakeholders — including Sales, Finance, Commercial and Product leadership — to deliver decision-ready analytics, deep dives, metric reconciliation, and executive narratives for QBRs, operating reviews, and leadership decks.
• Manage BI operations end-to-end — including user access, version control across Dev/Test/Prod environments, publishing, refresh monitoring, and first-line technical support for critical analytics products.
• Drive process automation and standardization for recurring deliverables (e.g., SaaS API integrations, partner data refreshes, monthly data mappings) — eliminating manual effort and improving turnaround.
• Maintain comprehensive documentation and ensure knowledge continuity across dataflows, notebooks, refresh schedules, backend logic, dependencies, and troubleshooting playbooks to enable seamless team operations.

Senior Analyst

Full-stack Engineer

• Lead the engineering delivery of an AI-enabled financial platform for index calculation, options analytics, back testing, and workflow execution.
• Define technical architecture, implementation standards, coding practices, testing expectations, and delivery patterns for the engineering team.
• Guide developers through complex design decisions involving Java services, frontend architecture, AWS workflows, data integration, AI-assisted development, and calculation accuracy.
• Partner with product owners, quantitative analysts, QA teams, infrastructure teams, data teams, and business stakeholders to convert requirements into clear technical plans.
• Lead design reviews, code reviews, sprint technical planning, production readiness reviews, and technical risk assessments.
• Mentor engineers in Java full-stack development, cloud-native design, financial calculation systems, automated testing, and responsible use of AI-assisted engineering tools.
• Ensure the platform is scalable, secure, maintainable, observable, auditable, and aligned with financial methodology and operational requirements.
• Design and develop backend services using Java, Spring Boot, REST APIs, and enterprise application patterns.
• Build platform components for index calculation, backtesting, data processing, workflow orchestration, exception handling, validation, and reporting.
• Implement financial calculation logic based on methodology specifications, including options-based strategies, rebalancing rules, pricing inputs, market calendars, and historical backtesting assumptions.
• Develop modern frontend applications using React, Angular, Vue, TypeScript, JavaScript, HTML, and CSS.
• Build user interfaces for index setup, backtest configuration, workflow monitoring, calculation review, validation results, exception management, dashboards, and reporting.
• Ensure strong integration between frontend applications, backend APIs, authentication flows, data services, and cloud workflows.
• Apply Spec-Driven Development practices to convert financial methodology documents, business requirements, and technical specifications into testable software components.
• Use AI-assisted engineering workflows to support planning, code generation, refactoring, test creation, documentation, and quality review.
• Review AI-generated or AI-assisted code for correctness, maintainability, security, performance, test coverage, and alignment with platform standards.
• Help establish team practices for responsible AI-assisted development, including review checklists, validation gates, test coverage expectations, and documentation standards.
• Support AI-assisted QA and evaluation routines for generated code, calculation outputs, regression testing, and backtest validation.
• Design and implement AWS-based platform components using services such as AWS Step Functions, Lambda, ECS/EKS, API Gateway, S3, CloudWatch, IAM, EventBridge, SQS/SNS, and AWS RDS.
• Build workflow orchestration for index calculations, backtest execution, data validation, exception handling, approvals, and operational monitoring.
• Integrate with data platforms including AWS RDS, cloud data platforms (such as Databricks, Snowflake, or Azure Synapse), data lakes, market data sources, reference data platforms, and analytical data pipelines.
• Ensure data lineage, audit trails, input/output traceability, logging, alerting, and operational controls are built into the platform.
• Support CI/CD, infrastructure automation, deployment validation, monitoring, and production support practices.

Software Engineering Lead

Backend Engineer

• Collaborate effectively with technical and non-technical partners.
• Solve problems, analyze, and isolate issues.
• Build solutions to develop/support key business needs.
• Engineer components and common services based on standard development models, languages, and tools.
• Produce system design documents.
• Lead a small team and deliver high value products.
• Quickly learn new and internal technologies.

.Net Fullstack Developer, React, C#

• Develop credit judgement through feedback/coaching and standard methodologies; reinforce standard ways of working to improve consistency and trust.
• Support AI-enabled team productivity by sharing reusable prompts, templates, checklists, and automations that support judgment, reduce rework, and accelerate delivery.
• Support onboarding/capability-building of more junior colleagues through guidance on routines, quality standards, and effective use of approved tools.
• Contribute to workflow improvement initiatives.
• Own delivery for assigned credits with clear status updates, strong prioritization, and early escalation of risks/dependencies to ensure decision-ready outputs.
• Maintain ongoing surveillance for assigned credits you support with, synthesizing developments into insights that support analytical discussions and committee materials with clear evidence.
• Build/maintain analytical packs using standard templates; apply automation to reduce rework while retaining human ownership of conclusions.
• Use approved GenAI/LLM tools as an enabler for research/comparison/drafting
• Collect/reconcile/validate data; identify anomalies/gaps early.
• Support maintenance/review of models under guidance; document assumptions/changes; standardize routines to reduce operational risk.
• Support rating committees by preparing well-evidenced materials and responding to follow-up questions with transparency on sources and assumptions.
• Translates data, analysis, and research into clear, decision-ready narratives for clients and senior stakeholders.
• Clarifying technical information, bringing new ideas forward and adapting messaging to the audience.
• Apply confidentiality, documentation, and governance requirements consistently, ensuring human accountability for final analysis and committee content.
• Support testing of automation/agentic AI tools identified through process improvement initiatives.

Rating Analyst – Structured Finance

Security Engineer

• Lead and coordinate application, cloud, and AI security initiatives across the S&P Global Energy Division in alignment with S&P Global's cyber risk management objectives.
• Conduct security architecture reviews for applications, APIs, cloud platforms, data flows, integrations, and AI-enabled solutions to identify risks and recommend secure design improvements.
• Partner with engineering, product, architecture, cloud, and business teams to embed security requirements into solution design, development, deployment, and operations.
• Enforce application security controls, including secure coding practices, vulnerability remediation, authentication, authorization, secrets management, dependency security, and software supply chain risk management.
• Oversee cloud security control implementation across public cloud environments, including identity and access management, network security, encryption, logging, monitoring, workload protection, and secure configuration.
• Review and assess AI and machine learning use cases for security risks, including data leakage, prompt injection, model exposure, access control, third-party AI risk, and misuse scenarios.
• Track, prioritize, and drive remediation of application, cloud, and AI security findings, exceptions, and risk acceptances in partnership with accountable technology owners.
• Support cyber risk assessments, compliance reviews, audit requests, and security reporting related to Energy Division applications, cloud services, and AI-enabled platforms.
• Develop and maintain metrics, dashboards, and executive-level reporting to communicate security posture, risk trends, remediation progress, and key security initiatives.
• Serve as a trusted security advisor and liaison between the Energy Division and Enterprise cybersecurity teams, promoting secure-by-design practices and consistent adoption of security standards.

Application & Cloud Security Lead

Director

• Actively leading third-party vendor evaluations.
• Driving cost synergies and operational efficiencies.
• Conducting financial viability assessments of vendors.
• Engaging with a wide number of stakeholders.
• Driving efficiencies in processes and leading projects through to completion.
• Collaborating closely with the wider Data Stewardship and Data Partnership teams.

Associate Director – Third-Party Data Stewardship

People Operations

• The Data Steward Lead is an individual contributor role that supports datasets end‑to‑end with strong ownership and alignment to product deliveries and roadmaps.
• The role drives the execution of multiple projects, gaining exposure to product deliveries, managing data ingestion activities, overseeing vendor data reviews, and leading user acceptance testing cycles for backend tables and data distribution.
• Addresses complex client queries and manages related escalations.
• Advances operational excellence by streamlining backend database curation, refining, and enforcing data policies, ensuring compliance, maintaining taxonomy and metadata, and coordinating effectively with Technology and Operations teams.
• Leads targeted automation initiatives and supports the adoption of artificial‑intelligence‑enabled stewardship practices to enhance efficiency and data quality.

Data Specialist – Institution & People Profiles

SDET

• Conduct comprehensive penetration testing of web applications, infrastructure, and cloud environments using both manual and automated techniques.
• Develop custom scripts, tools, and methodologies to enhance penetration testing capabilities and automate security testing within CI/CD pipelines.
• Apply cloud‑specific offensive techniques, including IAM abuse, container and serverless exploitation, and cloud misconfiguration testing.
• Collaborate with engineering and development teams to analyze vulnerabilities, develop remediation plans, and strengthen application security across development and production lifecycles.
• Perform detailed security assessments using DAST, SAST, and SCA tools to ensure continuous validation and improvement of security controls.
• Lead and participate in attack simulations and tabletop exercises to validate security controls and improve organizational response capabilities.
• Research emerging threats, attack vectors, and adversarial techniques to inform offensive and defensive strategies.
• Communicate and present penetration testing and security assessment findings to both technical and non‑technical stakeholders.

Lead Penetration Test Engineer

• Provide day-to-day guidance/coaching to Research Assistants and Rating Analysts
• Strengthen AI-enabled productivity by creating reusable assets
• Engage with external parties alongside senior team members
• Ensure adherence to methodology/confidentiality/data governance
• Lead end-to-end execution for assigned credits

Senior Analyst, Infrastructure Ratings

• Act as senior reference point coaching on credit fundamentals, modelling discipline, data quality, and standard work including how to use AI as an enabler with governance.
• Deliver end-to-end analytical execution across a defined portfolio.
• Lead surveillance and analytical updates, connecting performance, market developments, and issuer peers to forward-looking risk themes.
• Builds collaborative stakeholder trust through empathetic communication and differentiates S&P’s market viewpoint.

Associate Director, Infrastructure Ratings

• Support Index Committee chairperson with comprehensive meeting preparation, documentation, and record-keeping
• Facilitate critical Index Committee processes including quarterly rebalancings, annual methodology reviews, index launches, compiling consultation results and methodology change implementations
• Drive operational excellence by identifying and implementing process improvements through innovative use of technology and artificial intelligence tools
• Collaborate with cross-functional teams to facilitate effective communication and ensure timely delivery of committee-related deliverables
• Adopt Index Governance policies and procedures as they relate to Index Committees
• Maintain detailed audit trails and documentation to support regulatory, compliance and internal governance requirements

Operations Specialist, Index Committee

Product Specialist

• As part of the Global Marketing Team, you will be responsible for leading product marketing initiatives and content creation efforts that connect marketing activities to specific commercial outcomes, focusing on:
• Content Strategy and Development: Design and implement a comprehensive content marketing strategy that showcases S&P DJI’s multi - asset solutions. Create high-quality content, including blog posts, whitepapers, brochures, video scripts, webinars and educational materials that effectively communicate index features, benefits and market insights.
• Product Positioning and Messaging: Develop and refine the positioning and messaging for S&P DJI’s multi - asset index solutions. Craft compelling narratives that highlight the unique value propositions and benefits to various audiences, specifically Insurance.
• Go-to-Market Strategy: Lead the development and execution of go-to-market strategies for new index launches and enhancements. Collaborate with cross-functional teams to ensure successful rollout and market penetration of multi - asset benchmark offerings and downstream products built on S&P DJI indices.
• Compliance and Legal Partnership: Work closely with Compliance and Legal teams to ensure all product marketing content, client-facing materials and messaging are reviewed as needed and fully aligned with company guidelines and applicable regulatory requirements.
• Market Research and Competitive Analysis: Conduct market research to identify trends, customer needs and competitive landscape. Utilize insights to inform product development and marketing strategies, ensuring S&P DJI’s offerings remain relevant and competitive.
• Account-Based Marketing: Engage with key partners and clients to promote awareness and adoption of S&P DJI’s multi - asset solutions. Develop tailored marketing strategies to nurture relationships and drive downstream product usage.
• Performance Metrics and Reporting: Establish KPIs and metrics to measure the success of content marketing and product marketing initiatives. Provide regular reporting and analysis to internal stakeholders to inform decision-making and strategy adjustments.