VP - Analytics

Lead quantitative analytics across public & private markets Own a proprietary liquidity & return modelling platform Own and enhance a proprietary liquidity and return modelling framework covering both public and private market investments. Lead the development of institutional-grade analytical applications built in Python and SQL, supporting portfolio management and balance sheet modelling activities. Design and oversee enterprise data architecture, ETL processes and system integrations across investment, performance and accounting platforms. Deliver scalable analytics and reporting solutions used by senior leadership and governing committees for investment decision-making. Manage external development resources whilst establishing engineering standards, development governance and technical best practice. Desired Candidate Profile 8-10+ years' experience within a sovereign wealth fund, pension fund, endowment, insurance asset manager, secondaries investor or institutional investment platform. Demonstrated experience developing or maintaining quantitative models for liquidity forecasting, portfolio cash flows, commitment pacing, return forecasting or asset allocation across public and private markets. Advanced hands-on programming experience in Python and SQL, with the ability to independently analyse, debug and enhance production code. Strong knowledge of investment data architecture, database technologies, ETL frameworks and Snowflake environments. Previous experience leading technical resources and working directly with investment professionals, portfolio analytics teams and senior stakeholders.