About the Team The Client Solutions & Analytics engineering team builds and maintains a suite of proprietary quantitative platforms spanning portfolio construction and optimization, retirement and defined contribution solutions, Capital Market Assumptions, multi-asset risk analytics, and institutional client intelligence tooling. In practice, this means translating complex investment models — Monte Carlo retirement simulations, factor risk frameworks, liability-driven optimization, capital market forecasting — into reliable, scalable production systems used daily by portfolio managers, financial advisors, and institutional clients worldwide. The Role •••••• is looking for a Backend Engineer with 7+ years of experience to design and build the APIs, data pipelines, and services that power these platforms. This is a hands-on, high-impact role at the intersection of quantitative finance and scalable platform engineering — where a well-designed data model or a faster pipeline directly influences investment decisions at scale.