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Join OptiHedge

We're a small, focused team building serious tools for serious investors. If that sounds like your kind of work, we'd love to hear from you.

Open Roles

Senior Quantitative ResearcherResearch
Dubai / RemoteFull-time

Design and validate time-series forecasting models for equities. Strong background in statistics, econometrics, or ML required.

Full-Stack Engineer (React + Python)Engineering
Dubai / RemoteFull-time

Build and scale the OptiHedge platform. Own features end-to-end from data pipeline to UI.

Data EngineerEngineering
RemoteFull-time

Design and maintain our market data infrastructure. Experience with financial data feeds and real-time pipelines preferred.

Why OptiHedge?

Competitive salary + equity
Remote-friendly culture
Direct impact on product used by real investors
Access to institutional-grade market data
Flexible hours
Learning & development budget

Don't see a role that fits? Send your CV to careers@optihedge.ai and tell us how you'd contribute.

Our Hiring Process

1
Application

Submit your CV and a short note about why you want to work on AI-driven investing. We read every application personally — no automated rejections.

2
Initial Call

A 30-minute conversation with the founder to understand your background, what you're looking for, and whether the role is a mutual fit.

3
Technical Assessment

A focused take-home task relevant to the role — typically 2–4 hours. We respect your time and won't ask you to build a full product.

4
Final Interview

A deeper technical and cultural discussion with the team. We'll also give you time to ask any questions you have about the platform, data, or roadmap.

Our Mission

OptiHedge exists to give retail investors access to the same quality of forecasting infrastructure that institutional trading desks have relied on for years. We combine deep learning and statistical models to generate daily predictions for every S&P 500 stock, and we score every single forecast publicly so users can evaluate model accuracy themselves.

We're a lean team that moves fast, ships frequently, and takes pride in the quality of our output. If you enjoy working on hard problems at the intersection of finance, machine learning, and product design, we'd love to talk.