Binance is hiring a Web3 Pioneer Talent Program - Product Manager, Trading Systems
Location: Hong Kong
Pioneer Talent Program - Product Manager, Trading Systems
Asia / Hong Kong / Taiwan, Taipei
Product & Design – Product /
Pioneer Talent Program /
Remote
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Binance is a leading global blockchain ecosystem behind the world’s largest cryptocurrency exchange by trading volume and registered users. We are trusted by over 230 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.
About the Pioneer Talent Program
Are you an early-career professional ready to kickstart your career in the dynamic world of blockchain? Binance’s Pioneer Talent Program is designed to nurture ambitious individuals like you. The program offers full-time roles where participants will gain hands-on expertise via a tailored training curriculum and personalized 1:1 mentorship from industry leaders. Dive behind the scenes of the world’s leading blockchain ecosystem while building the skills to thrive in Web3. Launch your career with purpose—join us in shaping the future of digital innovation.
Who May Apply
Candidates with up to 5 years of relevant work experience
Responsibilities
- Manage the trading systems on the backend portal that configures and controls trading logic.
- Translate complex business requirements into clear technical product specifications for engineering implementation.
- Work closely with engineering teams to deliver system improvements with high accuracy, stability, and scalability.
- Manage key trading logic configurations, examples like contract parameters, leverage/margin rules, liquidation, funding- rates, and risk limits.
- Partner with Trading Risk, Product Operations, and Business stakeholders to ensure system updates/enhancements are safe, compliant, and well-governed.
- Monitor system performance and incidents, support troubleshooting, and drive continuous optimization of internal workflows and controls.
Requuirements
- Bachelors, Masters/PHD degree in Mathematics, Quantitative Finance, Financial Engineering, Computer Science, Statistics, or related quant fields.
- Less than 5 years of experience (including internships), ideally in trading systems, backend product, fintech, quant, or platform roles.
- Strong understanding of trading fundamentals such as order book mechanics, margin, leverage, liquidation, PnL, and risk management concepts.
- Strong logical thinking and ability to work with complex mathematical models and system rules.
- Comfortable working with data and technical teams; experience with SQL/Python/Excel is a strong plus.
- Bilingual English/Mandarin is required to be able to coordinate with overseas partners and stakeholders.
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.
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