
at Optiver
Proprietary TradingPosted 3 days ago
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**Senior Quantitative Researcher - Equities** - *Integrate machine learning models in equity trading* - *5+ years of quantitative research/trading experience* - *Develop, validate, and manage strategies in live markets* - *Lead alpha research, drive performance, and optimize portfolios* - *Proficient in Python, large-scale data handling* - *Based in Shanghai, tech-savvy, collaborative team environment*
- Compensation
- Not specified
- City
- Shanghai
- Country
- China
Currency: Not specified
Full Job Description
Senior Quantitative Researcher - Equities
Level
Experienced
Location
Shanghai
Department
Quantitative Research & Machine Learning
WHAT YOULL DO
We are looking for a Senior Quantitative Researcher with deep expertise in Delta One equities trading to join our Shanghai team. In this role, you will own the full lifecycle of systematic trading strategies and directly impact trading performance in live markets. You can expect to:
- Lead alpha research: define ideas, discover signals, and decide whats worth pursuing
- Build and validate models: develop predictive models and ensure they are robust through rigorous backtesting
- Construct portfolios: combine signals, manage risk exposures, and optimize for costs and capacity
- Drive production & execution: own the team performance ensure strategies are implemented, tradable, and aligned with real market conditions
WHO YOU ARE
You are a highly driven and collaborative researcher with a strong track record in systematic equity trading and a passion for solving complex problems in fast-moving markets.
Additionally, as part of our team youll need:
- 5+ years of experience in quantitative research or trading within equity markets
- A strong research mindset, with hands-on experience applying machine learning / deep learning techniques to financial data
- Proven ability to generate original ideas and take them from concept to production
- Experience working with large-scale datasets and data pipelines
WHAT YOULL GET
- The chance to work alongside best-in-class professionals
- Training, mentorship and personal development opportunities
- Daily office breakfast, lunch, snacks etc.
- Sponsored gym membership, sports and leisure activities, plus weekly in-house chair massages
- Regular social events, clubs and Friday afternoon drinks
DIVERSITY STATEMENT
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Questions? Get in touch with the recruitment team at
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