S&P Global

Data Scientist

• Define AI roadmap, tooling choices, and best practices for model building, prompt engineering, fine-tuning, and vector retrieval systems
• Architect, develop and deploy large-scale ML and GenAI-powered products and pipelines
• Own all stages of the data science project lifecycle, including: Identification and scoping of high-value data science and AI opportunities
• Partnering with business leaders, domain experts, and end-users to gather requirements and align on success metrics
• Evaluation, interpretation, and communication of results to executive stakeholders
• Lead exploratory data analysis, proof-of-concepts, model benchmarking, and validation experiments for both ML and GenAI approaches
• Establish and enforce coding standards, perform code reviews, and optimize data science workflows
• Drive deployment, monitoring, and scaling strategies for models in production (including both ML and GenAI services)
• Mentor and guide junior data scientists; foster a culture of continuous learning and innovation
• Manage stakeholders across functions to ensure alignment and timely delivery

Lead Data Scientist

Security Engineer

• Design and implement automated discovery mechanisms for non-human identities including service accounts, API tokens, cloud IAM roles, automation identities, and AI agents across hybrid and multi-cloud environments.
• Develop and maintain Python and PowerShell scripts to: Discover NHIDs from servers, cloud platforms, and applications Parse configuration files, logs, and APIs to identify embedded or hard-coded credentials Automate NHID hygiene tasks (ownership validation, metadata enrichment, reporting) Build automation workflows to support NHID onboarding, lifecycle updates, reviews, and decommissioning by integrating IAM, PAM, cloud IAM, and ITSM systems.
• Support governance of NHIDs by: Ensuring ownership and lifecycle state are captured correctly Assisting with access reviews and attestations for non-human identities Identifying orphaned, dormant, or over-privileged NHIDs and driving remediation.
• Work closely with application and DevOps teams to analyse authentication flows and help refactor applications toward modern, secure, password-less NHID patterns (e.g., OAuth client credentials, managed identities, short-lived tokens).
• Assist in integrating NHID controls with secrets management and PAM platforms, validating that credentials are properly vaulted, rotated, or replaced with cloud-native identity mechanisms where feasible.
• Support governance of NHIDs used in CI/CD pipelines, automation frameworks, and infrastructure-as-code, ensuring pipelines follow approved identity and secrets patterns.
• Provide NHID context and enrichment to security monitoring and incident response workflows, assisting in investigations involving service account misuse, abnormal automation behaviour, or credential compromise.
• Apply basic ML/AI concepts (pattern recognition, baselining, anomaly indicators) to help analyse NHID behaviour trends and support detection of misuse or drift.
• Maintain awareness of current and emerging trends in Agentic AI frameworks, including: Autonomous agents Tool-using AI workflows Token-based agent execution Model context access patterns.
• Support onboarding and governance of AI agents as non-human identities, ensuring agent ownership, access scope, and lifecycle expectations are defined and documented.
• Collaborate with cloud, platform, and security teams to ensure NHID automation aligns with Zero Trust principles and enterprise security standards.
• Produce and maintain technical documentation, runbooks, and onboarding guides related to NHID discovery, automation, and lifecycle processes.
• Assist with audit and compliance activities by generating NHID evidence, reports, and traceability across integrated systems.
• Continuously improve NHID processes by identifying automation opportunities, reducing manual effort, and improving accuracy and coverage of NHID controls.

Senior Identity Security Engineer – Identity Access Management

Risk

• Leading a small team of operational process analysts
• Overall responsibility for ensuring process governance execution for all operational areas under Platts Application Services (PAS).

Technology Risk Analyst

Manager

• Lead control activities for business lines within S&P Global Energy.
• Directly supports the strategy and execution on 1st line operational risk and controls in partnership with the 2nd line of defense and CI leadership.
• Ensure adoption of an effective Risk and Control Framework within the Business Lines.
• Maintain relationships with internal stakeholders to foster an efficient and productive working relationship to act as trusted advisor on Risk matters.
• Providing input and aligning the priorities of the 2nd and 3rd lines of defense.
• Within the framework executing and constantly improving risk & controls.
• Manage and maintain effective governance of operational risk, and coordinate and run risk assessments, KRI identification, monitoring and reporting, issue management and all other risk management processes.
• Support the execution of the Top Risk Profile with planning and interviews of OpCo and business leads.
• Support the implementation and oversight of model governance frameworks, ensuring models used within business processes comply with internal policies.
• Integrate model risk oversight into the broader operational risk framework, ensuring that model-related risks are assessed, monitored, and reported alongside other key business risks.
• Serve as the primary point of contact for model governance and risk matters, supporting business lines in understanding and mitigating model risks as part of overall risk management activities.
• Act as a key liaison point between functions critical for governance execution.
• Manage communication with key stakeholders so that they are well informed and engaged in Controls related activities.
• Work with Senior Leaders to support problem solving.
• Drive solutions to deliver effectively and efficiently within the ERM framework and risk environment.
• Work with Control partners and leaders across the division to ensure that there is a clear roadmap for any regulatory and policy changes (such as new Privacy regulation) and that we have a strong plan for execution, with clear ownership.
• Form part of an engaged, supportive and high performing team that has the skills, processes and drive to proactively identify operational risks, and that partners with the business to design strong controls, also executing with discipline on business controls related projects.

Manager, In-Business Control

Analytics Engineer

• Own the technical ETL delivery for various data migration projects.
• Design, develop, test, and deploy ETL and CDC solutions.
• Maintain and optimize database systems.
• Collaborate with other teams to integrate systems.
• Develop and maintain code using IICS.
• Monitor and debug published processes.
• Write performance-efficient complex SQL queries and tune existing queries.
• Manage a small team of technical resources.
• Serve as an escalation point for less experienced developers.

Senior ETL Developer

• Integrate security best practices throughout the SDLC for agentic AI applications.
• Develop and maintain automated security testing pipelines (SAST, DAST, SCA) for AI agents.
• Conduct security code reviews and threat modeling for agentic AI.
• Implement and automate security controls for secure agent deployment.
• Ensure traceability and compliance by mapping agentic AI controls to regulatory frameworks.
• Design, implement, and continuously improve security for agentic AI systems.
• Build and test secure-by-design agentic AI features.
• Embed LLMOps/MLOps security into CI/CD.
• Continuously evaluate agent safety with adversarial prompts.
• Develop and execute a comprehensive AI security and penetration testing strategy.
• Lead offensive security assessments.
• Collaborate with engineering teams to remediate findings.

AI Application Security Architect

Operations

• Executing the operational requirements to manage the lifecycle events of a syndicated loan
• Supporting more junior members of staff with any complexities within the deal/portfolio
• Interpreting the underlying legal documents to ensure the deal and its members are managed in compliance with the terms
• Answering client, borrower, and lender queries promptly
• Financial analysis of deals to ensure accruals and pricing mechanics are correct
• Management of outstanding work items in line with expected Key Performance Indicators (KPI’s)
• Ensuring a high level of accuracy to minimize operational risk within the lending portfolio

Syndicated Loans Operations Specialist

Full-stack Engineer

• Support and foster a quality-first, agile culture that is built on partnership, trust and sharing.
• Design, develop and maintain functionalities to create new solutions on the platform.
• Learning and understanding all aspects of the framework and the project deliverables.
• Be technically deep and provide input on architecture, design and code.
• Be responsible for driving technical design, architecture and implementation of new features and iterations of your project.
• Collaborate closely with business and PM stakeholders in roadmap planning and implementation efforts and ensure technical milestones align with business requirements.
• Implement security measures and compliance standards to protect sensitive data and ensure adherence to industry regulations.
• Maintain comprehensive documentation of platform, processes and procedures for reference and knowledge sharing.
• Ensure the use of standards, governance and best practices in the industry to deliver high quality scalable solutions.
• Ability to adapt communication styles to various audiences, from engineers to business stakeholders and executive leadership.
• Strategic thinker and influencer with demonstrated technical and business acumen and problem-solving skills.

Lead Engineer – AI/ML

Artificial Intelligence

• Support and foster a quality-first, agile culture that is built on partnership, trust and sharing
• Design, develop and maintain functionalities to create new solutions on the platform.
• Learning and understanding all aspects of the framework and the project deliverables.
• Be technically deep and provide input on architecture, design and code.
• Be responsible for driving technical design, architecture and implementation of new features and iterations of your project.
• Collaborate closely with business and PM stakeholders in roadmap planning and implementation efforts and ensure technical milestones align with business requirements.
• Implement security measures and compliance standards to protect sensitive data and ensure adherence to industry regulations.
• Maintain comprehensive documentation of platform, processes and procedures for reference and knowledge sharing.
• Ensure the use of standards, governance and best practices in the industry to deliver high quality scalable solutions.
• Ability to adapt communication styles to various audiences, from engineers to business stakeholders and executive leadership.
• Strategic thinker and influencer with demonstrated technical and business acumen and problem-solving skills.

Associate Director, ML/AI

Syndicated Loans Agency Operations Specialist

• Integrate security best practices throughout the SDLC for agentic AI applications, from design and code to deployment and operations.
• Develop and maintain automated security testing pipelines (SAST, DAST, SCA) for AI agents, APIs, and orchestration layers.
• Conduct security code reviews and threat modeling for agentic AI, focusing on model inputs/outputs, agent-to-agent (A2A), agent-to-process (A2P), and multi-agent control plane (MCP) interactions, as well as plugin/tool integration.
• Implement and automate security controls for secure agent deployment (sandboxing, RBAC/ABAC, policy enforcement, prompt injection/jailbreak mitigations).
• Ensure traceability and compliance by mapping agentic AI controls to regulatory frameworks (e.g., SOC 2, ISO 27001, NIST 800‑53, GDPR/CCPA).
• Design, implement, and continuously improve security for agentic AI systems, including secure orchestration protocols such as A2A, A2P, MCP, and related agentic communication and coordination patterns.
• Build and test secure-by-design agentic AI features, including runtime isolation, egress controls, audit trails, and observability (telemetry, prompt/result logging, risk scoring).
• Embed LLMOps/MLOps security into CI/CD (model artifact scanning, SBOMs, policy-as-code, attestation, controlled promotion).
• Continuously evaluate agent safety with adversarial prompts, scenario-based testing, drift/hallucination detection, and bias/fairness assessments.
• Develop and execute a comprehensive AI security and penetration testing strategy for agentic AI applications and systems, with a focus on protocol-level security for A2A, A2P, MCP, and other agentic communication patterns.
• Lead offensive security assessments, including adversarial prompt testing, agent misuse scenarios, and vulnerability identification in agentic AI deployments.
• Collaborate with engineering teams to remediate findings and strengthen security posture across AI-enabled applications.
• Define and operationalize agentic AI security policies, standards, and playbooks for engineering teams, including secure usage of agentic protocols (A2A, A2P, MCP, etc.).
• Lead secure SDLC and AI Security enablement: deliver secure coding guidelines, threat modeling workshops, and prompt hygiene training.
• Effectively communicate risk, security posture, and value trade-offs to business stakeholders and executives.
• Present security metrics, dashboards, and reports on application/AI security KPIs, incidents, and risk reduction to both technical and non-technical audiences.
• Partner with Cloud, Data Science, and Platform teams to deliver secure agentic AI features while maintaining a strong security posture.

S&P Global

Lead Data Scientist

Senior Identity Security Engineer – Identity Access Management

Lead Data Scientist

Technology Risk Analyst

Manager, In-Business Control

Senior ETL Developer

AI Application Security Architect

Syndicated Loans Operations Specialist

Lead Engineer – AI/ML

Associate Director, ML/AI

Syndicated Loans Agency Operations Specialist

AI Application Security Architect

AI/ML Lead Engineer

ML/AI Associate Director

AI/ML Director