Binance is hiring a Quantitative Researcher - Option in Quantitative Strategy — Asia. The overview below is synthesized from the employer posting on jobs.lever.co: factual requirements and scope are preserved, but prose is rewritten with editorial context. Verify details and apply via the employer link.
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 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.
Responsibilities
Day-to-day scope for the Quantitative Researcher - Option as described in the posting:
- Responsible for options pricing, risk management, and agency trading strategies — ideation, design, back-testing, and implementation
- Develop and maintain options valuation models, including volatility surface modeling, Greeks calculation, and exotic option pricing frameworks
- Conduct research on implied volatility dynamics, volatility arbitrage, and options market microstructure in both traditional and crypto markets
- Interact directly with the development team to ensure a smooth and agile implementation process into the trading platform
- Participate in all the stages of the development of new products. Including: ideation, modeling, risk management and parameter tuning
Requirements
Experience and skills the team lists as required:
- 4+ years of experience in a quantitative researcher/analyst position, with proven experience in options pricing research and modeling
- Hands-on experience with options pricing models (e.g., Black-Scholes, binomial trees, Monte Carlo, stochastic volatility models such as Heston/SABR)
- Master degree or higher in mathematics/statistics or similar relevant area of study required
- Proven track record of good academic achievement and great learning skills, love to solve challenging problems and work in a fast-paced environment
- Familiar with at least one programming tool for analysis. Python is strongly preferred
- Experience with hedge/mutual fund, trading house, brokerage or investment banks is advantageous
- Familiar with trading data processing, price prediction etc is advantageous
- Experience with Machine Learning algorithms is advantageous
- Understanding of DEX trading is advantageous
- Fluency in English is required to be able to coordinate with overseas partners and stakeholders. Additional languages would be an advantage
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.
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Build a standout application
For the Quantitative Researcher - Option at Binance, reviewers look for concise evidence over buzzwords. Mirror the language of the posting sparingly, quantify support or delivery outcomes, and show how you handled ambiguity, time-zone collaboration and user empathy. Keep your resume to impact, keep your cover note to one page, and link to artifacts — tickets resolved, docs shipped, dashboards owned — that prove you can operate in a fast-moving Web3 team. Prepare to discuss a time you turned a confusing user report into a clear fix and how you measure quality in support and operations.
Web3 hiring values reliability: on-time follow-through, clear writing, and a track record of improving runbooks and tooling. Treat the application as a work sample. For interviews, be ready to walk through how you prioritize across time zones, handle a difficult user, and decide when to escalate versus resolve directly. Show how you document decisions so the next teammate benefits.
In a distributed Web3 org, trust builds through written clarity. Use the cover note to demonstrate it.