Latent Technology Pte Ltd – Crypto Quant Researcher – Applied AI Intern

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.