We’re a cutting-edge quant trading firm pushing the frontier of crypto markets using data-driven strategies, advanced AI models, and custom-built infrastructure. Our team consists of elite traders, AI researchers, and engineers on a mission to conquer inefficiencies in digital asset markets through speed, intelligence, and automation.
What You'll Do
As a Crypto Quant Researcher – Applied AI Intern, you’ll:
Research, design, and backtest systematic strategies across centralized and decentralized crypto markets
Apply AI/ML techniques (LLMs, transformers, reinforcement learning, etc.) to generate, evaluate, and evolve trading features
Build real-time models using on-chain data, sentiment feeds, and market microstructure signals
Automate strategy generation pipelines using multi-agent systems or prompt engineering
Collaborate with traders and engineers to improve alpha detection, risk metrics, and execution logic
Contribute to the research wiki, idea logs, and internal factor libraries
What We’re Looking For
Strong background in quantitative research, AI/ML, or statistics
Experience with Python, Pandas, Numpy, and at least one ML framework (PyTorch, TensorFlow, scikit-learn)
Familiarity with crypto markets (DEX/CEX mechanics, DeFi protocols, or trading strategies)
Understanding of backtesting, alpha modeling, or reinforcement learning is a plus
Bonus: Knowledge of LLMs, prompt tuning, or agent-based systems
Why Join Us?
Work at the intersection of crypto, AI, and quantitative finance
Gain hands-on experience building models and strategies used in live trading
Mentorship from industry veterans and hands-on training
High-impact role with real responsibilities from day one
Potential for full-time conversion for top performers
To Apply: Send your CV, GitHub (if any), and a short paragraph on why you're interested in crypto + AI to [your email address or application link].
Early applicants get priority. Only shortlisted candidates will be contacted.
Kindly note that only shortlisted candidates will be notified.
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