| Job Position | Company | Posted | Location | Salary | Tags |
|---|---|---|---|---|---|
Binance | Hong Kong, Hong Kong |
| |||
RiskPod | New York, NY, United States | $150k - $180k | |||
Golfiuns | Remote | $80k - $90k | |||
Zinnia | Remote | $122k - $123k | |||
| Learn job-ready web3 skills on your schedule with 1-on-1 support & get a job, or your money back. | | by Metana Bootcamp Info | |||
Okx | Remote | $98k - $150k | |||
Okx | Remote | $88k - $119k | |||
Layerzerolabs | Remote | $91k - $100k | |||
Layerzerolabs | Vancouver, Canada | $75k - $77k | |||
Integra | Remote | $88k - $101k | |||
Integra | Remote | $72k - $84k | |||
Okx | Remote | $106k - $109k | |||
Okx | Remote | $98k - $115k | |||
Okx | Remote | $72k - $100k | |||
Hibachi | Remote | $140k - $200k | |||
Divine | San Francisco, CA, United States | $94k - $118k |
Binance Accelerator Program - Data Scientist (LLM & Trading)
Responsibilities:
- 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.
Requirements:
- 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.
Why choose Binance?
• Shape the future with the world's 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.
Why Binance
• 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
• Tackle unique, fast-paced projects with autonomy in an innovative environment
• Thrive in a results-driven workplace with opportunities for career growth and continuous learning
• Competitive salary and company benefits
• Work-from-home arrangement (the arrangement may vary depending on the work nature of the business team)
Binance is committed to being an equal opportunity employer. We believe that having a diverse workforce is fundamental to our success.
By submitting a job application, you confirm that you have read and agree to our Candidate Privacy Notice.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
What does a data scientist in web3 do?
A data scientist in web3 is a type of data scientist who focuses on working with data related to the development of web-based technologies and applications that are part of the larger web3 ecosystem
This can include working with data from decentralized applications (DApps), blockchain networks, and other types of distributed and decentralized systems
In general, a data scientist in web3 is responsible for using data analysis and machine learning techniques to help organizations and individuals understand, interpret, and make decisions based on the data generated by these systems
Some specific tasks that a data scientist in web3 might be involved in include developing predictive models, conducting research, and creating data visualizations.