Full Stack Engineer

C2R Ventures; New York (NY); On-site; USD 140,000 - 210,000; Full time

Job summary

C2R Ventures in New York is seeking a Full Stack Engineer to design and develop investment-facing platforms that enhance research productivity and alpha generation.

The role blends modern web apps, internal research tools, and AI-driven workflows to support the hedge fund’s long/short equity process. You will collaborate with portfolio managers on a cutting-edge research platform.

Qualifications

• Must have prior experience in buy-side, sell-side, or financial technology environments.
• Experience working with alternative data, structured and unstructured financial data (transcripts, research reports) is beneficial.

Responsibilities

• Design and develop investment facing technology platforms that enhance research productivity and alpha generation.
• Work directly with Portfolio Managers and investment team on building a research platform.
• Contribute to integration of AI-driven functionality into investment workflows.

Skills

Python

FastAPI

React

TypeScript

Redux/React Query

AgGrid

REST

gRPC

WebSockets

AI APIs

Tools

LLM APIs

Embeddings

AI native dev tools

Job description

Well funded, early stage hedge fund is looking for a Full Stack Engineer to design and develop investment facing technology platforms that enhance research productivity and alpha generation.

The role is a mix of developing modern web-based applications, internal research tools, and AI- integrated workflows that support the firm’s long/short equity investment process.

You will work directly with Portfolio Managers/investment team on building a research platform.

Contribute to integration of AI-driven functionality (LLM APIs, embeddings, agents) into investment workflows.

Core Tech/Tools:

Python/FastAPI; React, TypeScript, state management (Redux/React Query), AgGrid; REST/gRPC/WebSockets; AI APIs and AI native dev tools.

5 days onsite in NYC office, no exceptions.

Must have prior experience in buy-side, sell-side, or financial technology environments.

Experience working with alternative data, structured and unstructured financial data (transcripts, research reports) is beneficial.