Lead MFS technology strategy, engineering organisation and product delivery, from hiring and processes to cloud-backed services and new machine-learning products.
About this role
Build and operate mortgage recommendation and prediction models and real-estate pricing models in the research and analytics team. Design RAG and vector-database systems, tune prompts and model fit, gather and clean property data, deploy predictions, monitor improvements and prepare pricing reports. Support data engineering and incorporate new technology into the services.
Applicants need Python programming, SQL data handling, machine-learning design and construction, statistical analysis and visualisation, and a bachelor’s or higher degree in science or engineering. Database construction, production ML, finance or property knowledge and postgraduate study are preferred. Annual pay is ¥10–18 million including sixty hours of fixed overtime. The specialist discretionary schedule deems ten working hours per day; the title’s overtime slogan is not an unconditional schedule guarantee.
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