Quantitative Researcher (AI Direction)
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Overview
Join Rockbund as a Quantitative Researcher focusing on AI to bridge academic research and financial markets. Leverage your expertise in deep learning and quantitative research in a fast-paced crypto trading environment. Founded in 2019, Rock Bund Capital is a proprietary trading firm deeply committed to shaping the future of the cryptocurrency industry. We have an average daily trading volume reaching $1 billion and peak daily trading volume of $9 billion USD. We process over 15 million transactions daily, trading more than 1,000 symbols across major CEx and DEx. Our team combines expertise in traditional finance, quantitative research, and advanced engineering with a deep understanding of blockchain technology. This unique blend enables us to excel in trading across complex crypto markets, including both CeFi and DeFi, while providing capital and strategic guidance to projects that drive innovation and foster sustainable growth in the crypto industry. We are inviting exceptional Ph.D. and graduates from top-tier universities to join our research team. This full-time position is designed for those eager to bridge the gap between cutting-edge academic research and real-world financial markets. You will leverage your technical skills to solve complex challenges in high-frequency trading.
What you'll do
As an AI Researcher, you will focus on translating state-of-the-art theory into impactful trading solutions through two primary research directions
- •Deep Learning & Representation Learning: Design and train DNN architectures to create robust embeddings for complex market data.
- •Alpha Generation & Strategy Optimization: Utilize AI to discover new alpha signals, enhance existing trading strategies, and drive the monetization of research into production.
Why Join Us
- •Competitive remuneration package and a meritocratic culture where accomplishments are rewarded.
- •Fast paced and result-oriented with a flat structure.
- •Teams collaborate in a casual working environment.
- •Excellent exposure to the digital asset ecosystem and the latest market insight.
- •Great career development opportunities.
Who You Are
- •Ph.D. or Master’s degree in CS, AI, Math, Statistics, or a related field at a top-tier university.
- •Proficient in deep learning frameworks, especially PyTorch or JAX.
- •Strong coding skills in Python are required. Proficiency in C++ is a plus.
- •Hands-on experience with Transformer architectures or Time-Series Foundation Models.
- •Ability to read, understand, and implement state-of-the-art papers from top conferences.
- •Agile problem-solver with a passion for financial technology.
- •Plus: A publication record in top-tier conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ACL, KDD) in relevant fields.