The Core Engineering-Associate, Quantitative Strategist, Core Planning and Analysis Strats

About the role

Develop and deploy quantitative models for forecasting revenues, expenses, and balance sheet dynamics, and build AI agent systems to automate analysis, reporting, and decision support. Collaborate with business and finance stakeholders, deliver cloud-based analytical solutions, and maintain model documentation, validation, monitoring, and governance. A degree in Statistics, Computer Science, Applied Mathematics, Physics, or a related quantitative field is required; PhD graduates are preferred, with experienced master's and bachelor's candidates also considered. Candidates should demonstrate strong Python skills and experience or research in econometrics, time-series forecasting, simulation, machine learning, causal inference, cloud deployment, and AI agent development.