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 graduate students from top-tier universities to join our research team. This internship 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.
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.
Currently pursuing a 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.
Competitive remuneration package and a m eritocratic 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
Disclaimer We do not accept unsolicited resumes from any professional staffing or search firms. All resumes, or any other information identifying potential candidates, shared with any employee of Rock Bund Capital or its affiliates by any method without a standing signed supplier agreement will be deemed free to contact without restrictions, and no placement fee of any kind will be paid in the event the candidate is hired by Rock Bund Capital or any of its affiliates.
Qualifications: Intern, Ph.D. degree (in progress), Master’s degree (in progress), CS degree, AI degree, Math degree, Statistics degree, Top-tier university, Deep learning frameworks, PyTorch, JAX, Python, C++ (plus), Transformer architectures, Time-Series Foundation Models, Implement state-of-the-art papers, Agile problem-solver, Passion for financial technology, Publication record (plus), Onsite
Rockbund
Rockbund