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Pave Finance, Inc. invites an experienced Software Engineer to join our trading-focused team in New York City.
You will contribute across the stack to scale a ML-driven platform used by advisors and institutions, collaborating with a diverse, high-caliber group of professionals. Requirements include 3+ years in software engineering, a CS/SWE degree, and strong Python/TypeScript skills, with a passion for clean code, scalable system design, and data-driven decision making.
Pave is on a mission to democratize wealth management by taking a tool previously only available to billionaires and scaling it to be the backbone of investment management everywhere. Our platform is powered by a proprietary and highly extensible ML algorithm. Our primary clients are investment advisors, institutions and fintechs that use our product to build personalized investment strategies and automate trading across entire books of business.
Pave’s secret sauce is our proprietary portfolio management machine learning algorithm and supporting infrastructure. This is a prime focus of our growing Trading team. Our features & trade offerings are constantly expanding as we tackle our biggest challenge yet: scaling. We need to develop intentionally to ensure we do right by our users and their clients; many of whom have their retirement savings managed with our software. We’re looking for a Software Engineer with some experience in the financial industry to help us on our mission.
At Pave one of our greatest strengths is the diversity of our team. We are motivated by a shared love of the product, and we value building a culture of new perspectives and creative thinking. Our team has experience across many industries and eras, from companies such as Goldman Sachs, Morgan Stanley, Bank of America, Merrill Lynch, J.P. Morgan, Fidelity, several hedge funds, Google, Apple, Meta, Amazon, Wealthfront, DriveWealth, and E-Trade.
New York City, 3 days in-office / week (hybrid).