Finance AI Data Scientist

09 set - Asiago
Binance

Binance is a leading global blockchain ecosystem behind the world’s largest cryptocurrency exchange by trading volume and registered users. We are trusted by 300+ million people in 100+ countries for our industry-leading security, user fund transparency, trading engine speed, deep liquidity, and an unmatched portfolio of digital-asset products. Binance offerings range from trading and finance to education, research, payments, institutional services, Web3 features, and more. We leverage the power of digital assets and blockchain to build an inclusive financial ecosystem to advance the freedom of money and improve financial access for people around the world.

You will focus on user-facing financial AI and equity research scenarios, identifying and developing data and knowledge algorithms that are strategically valuable for Binance to build over the long term. By combining large language models, natural language processing, machine learning, and reinforcement learning, you will enable the system to better understand user queries, recognize financial entities and temporal information,



retrieve timely and relevant information, and generate results that are measurable and continuously optimizable. You will own the full lifecycle, from problem definition and data development to model training and production evaluation.
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Responsibilities
Identify high-value financial data algorithm problems that are worth building in-house, and evaluate the effectiveness, cost, and long-term maintainability of different approaches, including external data sources, rule-based processing, traditional models, and large language model solutions.
Design, train, evaluate, and optimize financial data and knowledge algorithms in production, covering areas such as user query understanding, document understanding, information extraction, entity recognition and linking, event detection, timeliness assessment, classification and tagging, deduplication and consolidation, and quality scoring.
Develop

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