AI Summary
Design and develop an autonomous AI pipeline for trading strategy creation using large language models. Collaborate with traders and analysts to translate market insights into executable strategies. Ensure scalability, performance, and robustness of deployed systems.
Key Highlights
Architect an autonomous strategy generation and evaluation pipeline
Integrate and fine-tune large language models for trading hypotheses generation
Build closed-loop feedback systems for backtesting and performance analysis
Technical Skills Required
Benefits & Perks
Competitive salary
Performance-based incentives
Relocation support to Dubai
Job Description
OneBullEx is a crypto futures exchange startup built for speed, reliability, and innovation. Our platform delivers real-time trading performance—even under extreme market volatility—powered by advanced automation and AI-driven tools, including our 300 SPARTANS trading bots. With cutting-edge machine learning, a user-first design, and transparent risk management, we are on a mission to redefine how traders navigate the fast-moving world of digital assets.
Job Overview
We are seeking a Senior AI Engineer, Quantitative Strategies to help pioneer a next-generation, self-evolving AI pipeline for trading strategy creation. This role goes beyond traditional engineering—you will architect an autonomous system that can generate, test, and refine its own strategies using the latest in large language models (LLMs) such as Gemini, ChatGPT, and Claude. If you are excited by the idea of making AI a true creative partner in quantitative trading, this is your chance to help shape the future of the industry.
Key Responsibilities
- Architect from the ground up an autonomous strategy generation and evaluation pipeline, making key technical decisions that will define its future
- Integrate and fine-tune cutting-edge LLMs to generate novel, testable trading hypotheses
- Build closed-loop feedback systems to automate backtesting, analyse performance, and iteratively improve AI-generated strategies
- Act as a bridge between quantitative research and AI engineering, working closely with traders and analysts to translate market insights into machine-executable strategies
- Ensure scalability, performance, and robustness of all deployed systems
- Advanced degree (Master's or Ph.D.) in Financial Engineering, Computer Science, Industrial Engineering, or a related quantitative field
- 3+ years of hands-on experience in quantitative or software engineering roles, ideally within trading, fintech, or financial markets
- Strong proficiency in Python (Pandas, NumPy, Scikit-learn) and experience with ML frameworks (PyTorch, TensorFlow, or JAX)
- Solid knowledge of deep learning, reinforcement learning, and optimisation techniques
- Experience with LLM APIs, prompt engineering, and preferably fine-tuning
- Strong software engineering fundamentals, including Git, testing, and deployment workflows
- Deep understanding of financial markets, statistical analysis, and strategy development principles
- Proven track record of developing and executing trading strategies in live markets
- Recognition in quantitative competitions (e.g., Kaggle, Quantopian)
- GitHub or portfolio demonstrating complex, data-driven projects
- Experience with reinforcement learning or other adaptive systems
- A strong intellectual curiosity and drive to push technological boundaries
- Early Impact – Be part of the founding team shaping a revolutionary AI-driven trading ecosystem
- Innovation at Scale – Work with cutting-edge AI, LLMs, and financial technology in a high-growth startup
- Global Ambition – Contribute to a platform with plans for rapid international expansion
- Competitive Package – Attractive salary, performance-based incentives, and relocation support to Dubai