The Head of Investment Accounting Engineering will lead the design, development, and operation of a modern, cloud native, scalable investment accounting platform supporting multi-asset class accounting, data management, controls, and reporting across global investment operations. This platform will operate at global, multi-tenant scale and must support petabyte-scale data processing, high-throughput event handling, and strict financial correctness guarantees.  This role is ideal for a seasoned engineering leader with deep expertise in cloud architecture (especially Azure), distributed computing, investment accounting capabilities, data architecture, and enterprise platform modernization within enterprise capital markets and asset servicing environments. 

The ideal candidate combines strong domain knowledge in enterprise investment accounting (e.g., ABOR/IBOR, event processing, corporate actions, reconciliations, cash management), technical excellence, and strategic leadership to scale teams, processes, and build platforms that enable accuracy, scalability, transparency, and auditability.   

This leader owns reliability, scalability, auditability, and cost efficiency as first-class outcomes.  

Charles River Development empowers investment firms worldwide with a cloud-based platform that streamlines and automates the investment process across asset classes. As part of State Street Alpha, we bring together data, technology, and services to help clients make confident decisions and scale with agility. Our open ecosystem and global support model enable investment professionals—from portfolio managers to private markets specialists—to navigate complexity and drive innovation. At Charles River, we thrive on collaboration, continuous improvement, and a shared commitment to shaping the future of financial technology. 

Key Responsibilities 

• Define and execute the long-term vision and platform strategy for a next-generation investment accounting product 

• Lead engineering teams building accounting platform components including accounting engines, rules frameworks, event processing, reconciliation, and reporting services. 

• Drive selection and adoption of technologies (e.g., Snowflake, Kafka, Postgres, Kubernetes, Redis or similar) aligned with business requirements and cloud‑native best practices. 

• Leverage AI tools and vendors to drive builds and create easily maintainable systems 

• Drive adoption of AI-led engineering practices (e.g., agent-based development, automated testing, code generation)  

• Develop embedded AI capabilities within accounting workflows (e.g., reconciliation, anomaly detection, data access)