Quant jobs / Optiver
Senior Quantitative Researcher – Equities
A senior researcher for Delta One equity trading in Shanghai, owning the full lifecycle of systematic strategies. Machine learning on financial data is expected.
What you’d work on
Our reading of the posting: what a new hire in this role would most likely spend their first months on.
- Lead alpha research and decide which ideas deserve time
- Build predictive models and stress them with careful backtests
- Combine signals into portfolios while managing risk, cost and capacity
- Own team performance and check that strategies trade as expected
- Run large datasets and data pipelines for research
What they ask for
Required
- 5+ years in quantitative research or trading in equities
- Hands-on machine learning or deep learning on financial data
- Original idea generation from concept to production
- Large datasets and data pipelines
- Backtesting rigour
- Education
- Not stated.
- Experience
- 5+ years in quantitative research or trading within equity markets
- Markets
- equities
How to prepare
- Build an equity signal pipeline with proper train, validation and test splits
- Study portfolio construction with transaction costs and capacity limits
- Learn how machine learning models are validated on noisy financial data
- Understand Delta One products such as ETFs and futures basis trades
What to study
- Financial Machine Learning
- Empirical Asset Pricing and Factor Investing
- Quantitative Research, Data and Backtesting
- Portfolio Theory and Quantitative Investment
- Quantitative Data Engineering
The Quantitative Researcher roadmap sets out the stages for this kind of role, with free resources for each.
Open the roadmapApply
Read the full posting on Optiver’s site before applying: requirements, location and pay can change after we check them.
View the posting on Optiver’s site ↗
SelfMadeQuant wrote this summary from the employer’s public posting, last checked 6 November 2026. SelfMadeQuant isn’t affiliated with Optiver and doesn’t handle applications.
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