Formulary Financial · New York City (3 days on-site)
Skills: React, TypeScript, Ruby, AWS, Docker, GraphQL, CI/CD
ABOUT FORMULARY FINANCIAL Our mission is to be the most reliable operations partner to asset management firms by equipping them with expert service and AI. We deliver unprecedented speed, data accuracy, and actionable insights to help investors manage and grow their businesses. This is a unique opportunity to join a category-defining business built by veterans in asset management and AI/ML (Bridgewater Associates, Meta, IBM Watson, Elemental Cognition), backed by premier investors (Khosla Ventures, Acrew Capital, Serena Ventures, Company Ventures), and driving transformation in one of the largest industries in financial services. Formulary rapidly grew to manage billions in assets across a global client base that represents leading firms and is scaling to transform the $30 trillion fund administration industry. We’ve assembled a dream team of experts passionate about solving complex problems with powerful technology and delivering exceptional, white-glove service to investors. We are deeply committed to our mission, incredibly customer-focused, and inspired to reshape the private markets industry. If you want to move fast, hold yourself to a high bar, and make a meaningful difference in the future of finance, come build with us. WHAT IMPACT YOU WILL OWN AND DRIVE As one of a handful of engineers alongside the CTO and principal engineer on a platform managing billions in assets, you'll own whole verticals end-to-end — data model to API to UI to deployment. - Real-time calculation engine. Allocations, NAV, and capital accounts computed on the fly. Every number ties out to the cent. - Lineage on every figure. Every number traces back to the exact spot in the source file it came from, whatever format the client sent. Derived numbers show their formulas, so you can walk the full calculation chain from a result on screen back to its origin. - Orchestrating AI, humans, and determinism. Durable workflows where LLM agents, deterministic validators, and humans sign-off each o…
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