Full Stack Engineer

The OTC derivatives market moves trillions of dollars daily on infrastructure that hasn't fundamentally changed in decades. We're building the platform for the next evolution of financial services.

We're a small team that came from trading, quant, and engineering roles at tier one financial institutions who were previously responsible for creating some of the most innovative products in the market. We are now building a platform which can process the most complex transactions executed across financial markets. We are building this right: delightful experience, modern stack, AI-native architecture.

Our clients are the most sophisticated banks, hedge-funds, and asset managers in the world. The problems are extremely hard, the scale is massive, and we're creating infrastructure that will define how this market operates for decades to come.

We are cloud-native employing serverless compute and IAC by design, with services written in both Python and Java. We leverage the latest foundation models and AI tooling, with a front end based on Typescript / React.

We have a fully automated SDLC utilizing Github, Logfire, Vercel and other technologies for rapid and continuous intraday deployment.

In this role, you will be responsible for supporting and enhancing the systems that power Float’s derivatives and capital markets platform. You will work closely with the team to translate financial and business requirements into reliable, scalable, and user-focused solutions. This position is ideal for individuals with experience in financial markets who are comfortable working with complex instruments and motivated to contribute to a fast-moving startup shaping the future of institutional finance.

This is a hands-on engineering role with a focus on front-end development.

• Bachelor’s in Computer Science, Engineering, Mathematics, Financial Engineering, or a related field
• This role is based in-person at our NYC office in So Ho
• Experience building responsive, accessible, and data-driven frontend applications
• Proficiency in Python, Java, or other backend languages for full-stack development
• Experience working with object databases (e.g., Mongo
  
  DB) and RESTful or Graph
  
  QL APIs
• Familiarity with cloud infrastructure and deployment (e.g., AWS, GCP, Azure)
• Solid understanding of software design principles across frontend and backend
• Ability to collaborate effectively with cross-functional teams, including design and product
• Excellent problem-solving, debugging, and communication skills

• Financial knowledge such as reference data, pricing, and market data integration
• Experience with trade capture, valuation, or risk systems
• Familiarity with financial products such as derivatives, FX, or fixed income
• Understanding of post-trade workflows and data reconciliation
• Prior experience working with institutional clients or within capital markets
• Experience building or integrating Generative AI (OpenAI, Anthropic, Gemini) solutions for financial applications