Finance AI Data Scientist

📋 Description

• Identify high-value financial data algorithm problems that are worth building in-house, and
• Design, train, evaluate, and optimize financial data and knowledge algorithms in production
• Develop multi-channel retrieval, relevance modeling, and financial ranking algorithms that
• Build training datasets, labeling systems, and evaluation benchmarks for market data, fundamentals
• Select and optimize the appropriate methods for each task, including large language models, NLP
• Apply supervised fine-tuning, reinforcement learning, preference optimization, active learning, or

🎯 Requirements

• Experience in financial data, brokerage, trading platforms, research institutions, wealth
• Experience in extracting, linking, event detection, or quality evaluation for financial content
• Experience in financial large model post-training, reinforcement learning, knowledge graphs
• Experience with active learning, weak supervision, human feedback loops, or large-scale data
• Experience in cross-cultural or cross-language model transfer, or in conducting independent

🎁 Benefits

• Shape a bigger structure for better design and engineering decisions
• Shape a culture of growth, intelligence, and efficiency within the organization
• Shape the future with the world's leading blockchain ecosystem
• Collaborate with world-class talent in a user-centric global organization with a flat structure
• Make ambitious, quality-driven decisions
• Take pride in reducing this economic gap is the core of Banan, and humility is the core of our