Key Responsibilities

📍Research Application Development (End-to-End) 📍Build full-stack research applications that combine data, analytics, and AI features. 📍Develop back-end services/APIs to deliver research datasets, model outputs, and interactive capabilities. 📍Implement front-end interfaces that present insights clearly and support investor workflows. 📍Collaboration with AI Leads & Research Teams 📍Work closely with the AI Lead to understand investor research use cases, workflows, and decision processes. 📍Embed business context into application design so tools feel intuitive, relevant, and tailored to investor needs. 📍Collaborate with the Solutions Lead to refine workflows, user journeys, and feature priorities.

Qualifications

📍Required: 📍3+ years of experience building production-grade full-stack applications using a modern Python backend framework (e.g., FastAPI, Flask, etc) and a modern frontend framework (e.g., React/Next.js) with TypeScript. 📍Proven experience designing, consuming, and securing REST / GraphQL APIs that integrate with cloud data platforms (e.g., Snowflake, BigQuery, etc). 📍Experience collaborating closely with data engineers on complex, high-volume data pipelines, ensuring backend services, APIs, and data contracts integrate cleanly with their workflows. 📍Hands-on experience integrating analytics or AI/LLM features into applications (prompting, retrieval/RAG, orchestration, monitoring).

The future of finance is here — whether you’re interested in blockchain, cryptocurrency, or remote web3 jobs, there’s a perfect role waiting for you.