The role involves developing a portfolio management platform for a new investment fund. The primary focus is on creating systems for cash flow forecasting, liquidity management, and scenario analysis. Responsibilities include designing production-ready data pipelines and aggregating balances from multiple core systems. The position requires translating existing business logic and spreadsheet-based models into automated, scalable workflows. Additionally, the role entails building historical cash flow bridges and ensuring the robustness and auditability of all analytical models.

Candidates must possess at least five years of experience in data science, analytics, or a related field. Proficiency in SQL for building production data pipelines and Python for modeling and automation is mandatory. The role requires the ability to translate complex business logic into scalable solutions and a basic understanding of financial concepts. Advanced English proficiency is required, along with strong communication and leadership capabilities.