Quantitative Researcher (AI Direction)

1. Deep Learning & Representation Learning: Design and train DNN architectures to create robust embeddings for complex market data.
2. Alpha Generation & Strategy Optimization: Utilize AI to discover new alpha signals, enhance existing trading strategies, and drive the monetization of research into production.

• 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.

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

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.