Description
This senior hands-on engineering role builds and scales AI-powered applications for wealth and investment management. The position develops portfolio analytics, investment research, decision-support, data pipelines, APIs, automation frameworks, and agent-based solutions; applies quantitative and statistical methods to portfolio construction and risk analysis; and supports testing, model evaluation, monitoring, and operational reliability. The role requires 4–7 years of experience in software engineering, quantitative analytics, financial technology, data engineering, AI engineering, or a related field, along with strong Python, financial data, cloud, and AI capabilities.
