below marketmost similar roles pay hereabove market
This role pays more than
51%
of similar roles. Most pay
$180,375–$271,687
— the blue band above.
At the midpoint, this role pays about
$218k
versus about
$226k
for comparable roles.
Based on 240 similar postings.
Employer
About S&P Global
S&P Global delivers Essential Intelligence® that shapes decision making. We provide the world’s leading organizations with the right data, connected technologies and expertise they need to move ahead.
S&P Global currently has
37 open roles
on FindRole.
Listed pay typically runs
$142,000–$200,000
across 35 roles with salary data.
The Head of Multi-Asset Engineering leads the strategy, architecture, and execution of technology solutions for the Multi-Asset business. This leader partners with Product, Research & Design, Operations, and Commercial teams to accelerate time-to-market and enable AI-powered product innovation. Key responsibilities include driving the evolution from bespoke solutions toward reusable platforms, common services, and modern product-centric engineering practices. The role involves building scalable technology capabilities, managing delivery roadmaps, and integrating AI/ML capabilities into production software delivery pipelines. Required skills include 15+ years of software engineering experience, expertise in cloud-native platforms on AWS, Azure, or GCP, and proficiency in microservices, event-driven architecture, and CI/CD automation. The position addresses the technical challenge of reducing fragmentation across Multi-Asset, Equities, and Fixed Income technology platforms through shared APIs and frameworks.
Lead the end-to-end technology strategy and execution roadmap for the Multi-Asset Index value stream.
Translate business growth opportunities into scalable technology capabilities aligned with customer demand and strategic objectives.
Accelerate product delivery and time-to-market for new index launches and AI-enabled product capabilities.
Define and execute a strategy for shared business services, APIs, frameworks, and reusable engineering patterns.
Leverage AI, automation, and agentic development to improve engineering productivity and platform capabilities.
Mentor and develop engineering teams while influencing cross-functional stakeholders without direct authority.
Communicate strategy, priorities, risks, and outcomes to senior leadership with clarity and conviction.
What we're looking for
15+ years of software engineering experience, including multiple years in an engineering leadership role with accountability for platform or product engineering organizations.
Proven record of delivering business-critical technology solutions in capital markets, fintech, asset management, exchanges, market infrastructure, or financial data businesses.
Demonstrated experience building reusable platforms, shared services, APIs, and enterprise-scale architectures using cloud-native engineering principles.
Experience delivering enterprise-scale, cloud-native platforms on AWS, Azure, or GCP, including microservices, event-driven architecture, and CI/CD automation.
Hands-on experience integrating AI/ML capabilities into production software delivery pipelines, such as LLM-based tooling or automated code generation.
Bachelor's degree in Computer Science, Software Engineering, or a related engineering discipline.
Domain expertise in Multi-Asset, Equity, Fixed Income, Indices, Quantitative Finance, or Portfolio Construction strategies (preferred).
Advanced degree (Master's or PhD) in Computer Science, Financial Engineering, Mathematics, or a quantitative discipline (preferred).
Data Governance
Data Quality
Data Strategy
Data Operations
KPIs
OKRs
Data Transformation
Financial Services
Asset Management
Wealth Management
Index Construction
Portfolio Construction