Upstart AEC is partnering with a leading firm to find a skilled Quantitative Engineer to help translate financial strategy into production-ready logic. You’ll work hand-in-hand with engineering, product, and investment teams to build models, optimization routines, and scalable portfolio logic that underpin our core platform. This isn’t a purely theoretical quant role—you’ll be coding, testing, and integrating your work directly into the systems that run billions in assets.What You’ll DoDesign and implement portfolio models, tax optimization algorithms, and rebalancing logicWrite clean, maintainable, and testable Python code aligned with financial strategyCollaborate with engineering to ensure quant logic is scalable, robust, and production-readyWork with a variety of data systems (SQL Server, MongoDB, DynamoDB)Document models and decisions in Confluence and collaborate cross-functionallyWhat We’re Looking ForStrong background in applied mathematics, financial modeling, or quantitative financeProficiency in Python, with a focus on clarity, testing, and performanceExperience with AWS serverless tools (e.g., Lambda, Step Functions) is a plusStrong communication skills—you can explain models clearly and work closely with both engineers and non-technical stakeholdersCollaborative mindset with a bias for action and team ownershipWhy Join UsYou’ll join a sharp, supportive team solving complex problems that directly impact the future of wealth management. We move fast, value clean code, and aim for lasting impact.Salary: USD 70 -100k a year