Binance Accelerator Program Data Scientist (LLM & Trading)
Taipei City - Taiwan
Job Summary
Leveraging knowledge of financial derivatives participate in the design and development of a Web3 AI-powered financial token risk control system integrated into a real-world system.
Assist in building and maintaining benchmark datasets to evaluate the performance of the AI system and assist in prototyping and iterating the workflow of the financial AI agent system.
Work closely with senior engineers to complete system design integration and deployment.
Currently pursuing a degree in finance fintech or a related field.
Understanding financial derivatives risk measurement including but not limited to VaR CVA FVA and PFE to support risk management of interest rate derivatives credit derivatives and FX/commodity options.
Interested in secondary market trading with basic programming skills and Python experience.
Passionate about artificial intelligence data-driven systems and building practical application tools.
Excellent communication skills and a strong willingness to learn quickly.
Able to commit at least 6 months working 5 days a week.
Shape the future with the worlds leading blockchain ecosystem
Work alongside world-class talent in a user-centric flat global organization
Independently complete unique and fast-paced projects in an innovative environment
Thrive in a results-oriented work environment with opportunities for career development and continuous learning
Competitive compensation and benefits
Work-from-home available (specific arrangements may vary depending on the nature of the business team)
Good communication skills and willingness to learn quickly.
Ability to commit at least for a 6 months tenure 5 days per week.
Required Experience:
IC
About Company
Binance is a blockchain ecosystem comprised of Exchange, Labs, Launchpad, Info, Academy, Trust Wallet, and Blockchain Charity Foundation (BCF). Binance Exchange is one of the fastest and most popular cryptocurrency exchange platforms in the world, capable of processing over 1.4 millio ... View more