7 quantitative trader jobs found in Shanghai

As a Machine Learning Modelling Engineer, you’ll harness your understanding of AI and deep learning to generate impactful insights and drive innovative new strategies that have the potential to transform global financial markets. Your intellectual creativity won’t just be theoretical; you’ll get to turn your cutting-edge ideas into real-world solutions that contribute towards our trading success. You’ll join a team of experienced engineers, who will provide you with guidance and support throughout the program, enabling you to make an impact from the early stages of your Optiver career. By the end of the internship, you'll have deepened your understanding of the quantitative trading industry. Plus, if you've excelled over the summer, you'll receive an offer to return as Graduate Machine Learning Modelling Engineer. WHO WE ARE: Optiver is a global market maker founded in Amsterdam, with offices in London, Chicago, Austin, New York, Sydney, Shanghai, Hong Kong, Singapore,...

Ready to accelerate your growth in one of the most fascinating and dynamic industries? Our Research Summer Internship program will give you real insights into how data and research is used to improve global financial markets. Expand your knowledge of the financial markets and solve challenging problems that could impact the way we trade. Plus, if you’ve excelled over the summer and shown us your potential, you could receive an offer to join us as a graduate quantitative researcher. With Optiver’s internship program, your work improving the market starts today. Who we are: Optiver is a global market maker founded in Amsterdam, with offices in London, Chicago, Austin, New York, Sydney, Shanghai, Hong Kong, Singapore, Taipei and Mumbai. Established in 1986, today we are a leading liquidity provider, with close to 2,000 employees in offices around the world, united in our commitment to improve the market through competitive pricing, execution and risk management. By providing...

WHAT YOU’LL DO: As a data scientist in our options market making team, you will play a key role in improving our trading strategies through rigorous data-driven analysis. You’ll take a scientific approach to understanding how our systems perform in live markets—developing hypotheses, building experiments, and using advanced analytics to uncover opportunities for improvement. You’ll work with large-scale production trading data to identify patterns, test ideas, and evaluate strategic changes. This may include leveraging statistical modeling, machine learning techniques, and other quantitative methods to better understand market dynamics and strategy behavior. You’ll collaborate closely with traders and engineers, but your work will be rooted in independent thinking, analytical rigor, and a strong focus on real-world impact. WHO YOU ARE: Students who are graduating in 2025 or 2026 Studying a Computer Science, Mathematics, Engineering or similarly technical degree...

WHAT YOU’LL DO: We look for an experienced quantitative researcher to join our options trading team. Key skillset requirements include: Formulate and improve data driven forecasts utilising our vast arrays of inhouse and external data Work closely with traders, who’ll directly use your results to inform their trading Work on complex mathematical and statistical problems related to volatility forecasts and optimisation Collaborate closely with other researchers both locally and regionally WHO YOU ARE: Solid skills in working with big data and pipeline design; Strive to understand the business problem and apply the work to production Proficient and passionate about all things mathematics related, and comfortable with coding Ability to solve complex problems independently and able to utilise the resources available around Collaborate with stakeholders and lead complex discussions Communicate effectively and not afraid to challenge the status quo...

The Optiver AI PhD Scholarship recognises outstanding PhD students in Artificial Intelligence and Machine Learning from leading universities across mainland China. The initiative is designed to support PhD candidates, whose research advances AI or ML in meaningful ways. Selected scholars will gain early access to Optiver’s traders, researchers and engineers, along with the chance to see how their ideas translate into real quantitative models used in global markets. Through this scholarship, we aim to build long-term relationships with the AI and ML community, and create clearer pathways for PhD talent who are exploring careers in the industry. What you’ll get As a recipient of the Optiver AI PhD Scholarship, you will: Receive a CNY 100,000 scholarship award, in recognition of your research excellence and potential. * Awardees will be responsible for any taxes associated with this scholarship. Be given priority consideration for Optiver’s internship programs,...

WHAT YOU’LL DO As a Senior Portfolio Manager or Quantitative Researcher on our Equity MFS (Medium Frequency Statistical arbitrage) team, you’ll jointly lead the effort to build Optiver Shanghai’s proprietary equity MFS strategy. In addition, you’ll: Alpha Development: Design, develop, and implement intraday trading strategies with medium frequency alpha, targeting minute-level / hour-level opportunities in commodity / index futures, or stock markets. Machine Learning Integration: Apply machine learning models and algorithms to analyze market data, build predictive models, and identify actionable trading signals. Continuously refine models based on performance metrics and market conditions. Market Analysis: Perform comprehensive analysis of market data, including historical and real-time information, to identify and exploit trading opportunities. Data Management: Manage and analyze large datasets using advanced statistical methods and analytics. Ensure data...

WHAT YOU’LL DO: As a data scientist in our options market making team, you will play a key role in improving our trading strategies through rigorous data-driven analysis. You’ll take a scientific approach to understanding how our systems perform in live markets—developing hypotheses, building experiments, and using advanced analytics to uncover opportunities for improvement. You’ll work with large-scale production trading data to identify patterns, test ideas, and evaluate strategic changes. This may include leveraging statistical modeling, machine learning techniques, and other quantitative methods to better understand market dynamics and strategy behavior. You’ll collaborate closely with traders and engineers, but your work will be rooted in independent thinking, analytical rigor, and a strong focus on real-world impact. WHO YOU ARE: Strong research skills with a scientific mindset and a passion for solving real-world problems with data. Proficient in Python for...