kiavi · Remote
Skills: Python, SQL, AWS
THE TEAM Our Property Analytics team is made up of 360-degree thinkers that analyze complex problems and come up with creative solutions. We love to combine advanced analytics and machine learning skills with deep domain knowledge about the business when creating solutions. You will work with some of the most fascinating data sets in the world, alongside a world-class group of product engineers, sales and marketing leaders, and business operators. PURPOSE OF THE ROLE Figure’s Property Analytics team is seeking a Senior Applied Scientist to join us in our effort to reinvent real estate lending. You will be working alongside engineering, product, and business leaders to tackle complex research and machine learning problems related to automated valuation models (AVMs), asset valuation, and process optimization. An ideal candidate brings deep expertise in advanced machine learning, statistical modeling, and production-grade AI system architectures. You will lead technical direction, mentor team members, and partner closely with MLOps engineers, Product Managers, Credit Risk Management and Capital Markets subject matter experts to drive select strategic initiatives from initial research to production deployment. If you are keen on joining a dynamic company and solving intellectually challenging problems in a fast-paced environment, please reach out to us. KEY RESPONSIBILITIES: Lead the end-to-end design, architecture, development, and deployment of state-of-the-art automated valuation modeling (AVM) systems for novel lending products. Architect and refine innovative machine learning, deep learning, and statistical models for asset valuation, incorporating spatial-temporal trends, macroeconomic factors, market liquidity, and property risk dynamics. Establish robust quantitative frameworks for continuous model performance assessment, monitoring, and automated retraining across changing real estate cycles. Build analytical tools and frameworks to empower cross-functional te…
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