WQBRAIN AI Researcher

What you'll do

• Research AI and LLM techniques, including advanced architectures, and design, train, and fine-tune models to extract insights and generate signals.
• Analyze large-scale financial datasets using statistical, mathematical, and machine learning methods to identify patterns and create or enhance alphas.
• Collaborate with platform development teams to design and test functionalities and datasets, and identify opportunities to apply new AI research to quantitative finance.

What they ask for

• Strong knowledge and hands-on experience in AI, machine learning, and LLMs; proficiency in Python and C++; familiarity with PyTorch or TensorFlow.
• Solid foundation in mathematics, statistics, and quantitative modeling.
• Bachelor’s or advanced degree in Computer Science, AI, Mathematics, Financial Engineering, or a related field.
• Ability to work collaboratively, with strong English communication and presentation skills.

Nice to have

• Experience with financial datasets.
• Interest in financial markets.

Tools

Python, C++, PyTorch, TensorFlow, Transformer models, Reinforcement Learning, Generative AI

AI focus

Research and apply AI and LLMs—including Transformer models, Reinforcement Learning, and Generative AI—to build quantitative models, extract insights, generate signals, and enhance alphas for quantitative finance.