ML/AI Developer for Fully Autonomous Trading System – Institutional-Grade

Who we are:
We are a professional and rapidly growing trading firm and investment fund operating in Forex, futures, and crypto markets. Our mission is to deploy robust, intelligent trading systems that run independently and generate consistent returns. We are now seeking a top-tier developer to build a production-ready solution powered by machine learning and smart decision-making.

What We Need: A Complete “Set & Forget” Trading System
We're looking for a developer to design and build a fully autonomous system that:

• Continuously scans all asset classes — Forex, commodities, stocks, indices, crypto — and chooses the best trades in real time

• Combines technical and fundamental analysis, with the ability to interpret breaking news or macro events using NLP (e.g., GPT-based logic)

• Incorporates smart capital allocation, dynamic position sizing, exposure control, and strict drawdown limits

• Runs 24/5 on a cloud server (not local desktop) with self-monitoring, logging, and failover recovery mechanisms

• Includes backtesting framework, performance reporting, trade logs, and email alerts

• Is designed to be portable — starting with MetaTrader 5 but easily adaptable to Interactive Brokers, Binance, or other APIs

Important: We’re NOT looking for a toy or experimental bot.
We need a battle-ready, “set and forget” trading system that:

• Analyzes both technical signals and fundamental news/events

• Is proven to be profitable over time, through real-world usage or verified backtests

• Requires minimal human intervention

• Is architected for scalability and long-term deployment

If your system doesn’t meet these core expectations, please do not apply.

Technical Requirements:

• Python: pandas, NumPy, scikit-learn, TensorFlow or PyTorch

• Broker API experience: MetaTrader 5 (required), NinjaTrader, Interactive Brokers, Binance

• Strong knowledge of:

  • Algorithmic trading & quantitative strategies

  • Machine Learning for financial time series

  • Natural Language Processing (for interpreting news or macro headlines)

  • Cloud deployment (AWS, Docker, monitoring) — a big plus

Your Role:

• Build the entire system pipeline: from data intake → signal generation → execution → risk management → reporting

• Design the modular strategy framework

• Deploy and test in a live VPS environment

• Deliver weekly updates, transparent communication, and clean documentation

Work Structure:

• Remote OK – timezone flexibility allowed

• Open to fixed price only 

• Quick onboarding process – ready to start ASAP

To apply, please send:

• A brief summary of your experience with algorithmic trading / ML for finance

• Any code samples or systems you’ve built that match this type of project

• If possible, a quick draft of how you’d approach the architecture (optional but helpful)

Let’s build something powerful, scalable, and long-term.