Who wouldn’t want to apply cutting-edge ML and AI techniques to disrupt the finance industry?
If you excel in an environment that values technical innovation, high-impact AI solutions, and fast execution, this is the place for you. You'll work with LLMs, retrieval-augmented generation (RAG), reinforcement learning, and generative AI to develop scalable, real-time trading models that power both high-frequency and mid-frequency strategies across global markets.
With expertise in transformers, diffusion models, NLP, computer vision, and deep reinforcement learning, you’ll play a critical role in designing and optimizing AI-driven trading platforms that process massive financial datasets. Your work will directly influence automated decision-making, predictive modeling, and strategy optimization in one of the most sophisticated and profitable trading operations in the world.
If you thrive in high-stakes environments and want to collaborate with top-tier AI researchers and engineers, you’ll find this opportunity to be truly rewarding.
You don’t need industry experience (though it’s a major advantage), but you’ll benefit from:
A quantitative discipline of study; Computer Science, AI, or a related STEM field
Experience applying LLMs, RAG, deep reinforcement learning, and generative AI to real-world challenges
A high-performance mentality – a proven track record of excelling in competitive environments
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