Youve spent years working on open-ended problems building models and testing ideas.PhD Quant Focus is a three-day program designed to show how your approach in academia applies to practical challenges in global markets.
Through hands-on workshops and technical discussions youll work on problems similar to those our teams tackle where models interact with fast-moving noisy data and feedback is immediate. Youll see how techniques from machine learning statistics and applied mathematics are used in practice and where they break.
Explore how your research translates in a trading environment. Apply now.
Eligible for PhD students in STEM disciplines with experience in areas such as Machine Learning Statistics or Applied Mathematics.
Program dates:3 5 September 2026
Applications close: 27 July 2026
Where: Optiver Shanghai office*
*Travel and accommodation will be provided for participants outside of Shanghai.
What youll do
Work through applied problems across research trading and technology:Gain practical experience in applying data analysis statistical modelling techniques to extract signals from large noisy event-driven data.
Participate in hands-on trading workshops: Build foundational knowledge and skills around market making and quantitative decision-making. See firsthand how research connects to real-time market dynamics and trading outcomes.
Connect with quantitative researchers traders and engineers: Meet PhD graduates and get insights into their day-to-day work career paths and tips on successfully transitioning from PhD to industry.
Receive practical feedback to advance your transition to industry: Get feedback on how you frame problems reason throughassumptionsand communicate your thinking in an applied setting.
What youll get
Clarity on how PhD work translates in practice. Understand how your approach in academia is applied assessed and developed within Optiver.
Experience firsthand how researchers traders and engineers collaborate openly share knowledge and rapidly iterate to deliver breakthroughs at scale.
Connect with a PhD network consisting of peers and experts across research trading and technology.
Opportunity to be considered for a future internship if you excel within the program.
Experience Optivers office perks including daily breakfast lunch and coffee.
Plus if you stand out during the program you could receive an Internship or Graduate offer.
Who you are
PhD student graduating in 2027 or 2028
Studying a Mathematics Statistics Physics Electrical / Mechatronic / Software Engineering Computer Science Applied / Quantitative Finance or Econometrics degree.
Enjoy working with complex data-intensive problems comfortable operating in conditions of uncertainty and confident in applying programming mathematical modelling and data-driven methodologies to answer challenging questions.
Clear communicator of technical ideas who thrives in collaborative multidisciplinary environments.
Excited to test yourself in one of the most dynamic areas of the financial market.
Diversity statement
Optiver is committed to diversity and inclusion and it is hardwired through every stage of our hiring process. We encourage applications from candidates from any and all backgrounds and we welcome requests for reasonable adjustments during the process to ensure that you can best demonstrate your abilities.
Youve spent years working on open-ended problems building models and testing ideas.PhD Quant Focus is a three-day program designed to show how your approach in academia applies to practical challenges in global markets.Through hands-on workshops and technical discussions youll work on problems simil...
Youve spent years working on open-ended problems building models and testing ideas.PhD Quant Focus is a three-day program designed to show how your approach in academia applies to practical challenges in global markets.
Through hands-on workshops and technical discussions youll work on problems similar to those our teams tackle where models interact with fast-moving noisy data and feedback is immediate. Youll see how techniques from machine learning statistics and applied mathematics are used in practice and where they break.
Explore how your research translates in a trading environment. Apply now.
Eligible for PhD students in STEM disciplines with experience in areas such as Machine Learning Statistics or Applied Mathematics.
Program dates:3 5 September 2026
Applications close: 27 July 2026
Where: Optiver Shanghai office*
*Travel and accommodation will be provided for participants outside of Shanghai.
What youll do
Work through applied problems across research trading and technology:Gain practical experience in applying data analysis statistical modelling techniques to extract signals from large noisy event-driven data.
Participate in hands-on trading workshops: Build foundational knowledge and skills around market making and quantitative decision-making. See firsthand how research connects to real-time market dynamics and trading outcomes.
Connect with quantitative researchers traders and engineers: Meet PhD graduates and get insights into their day-to-day work career paths and tips on successfully transitioning from PhD to industry.
Receive practical feedback to advance your transition to industry: Get feedback on how you frame problems reason throughassumptionsand communicate your thinking in an applied setting.
What youll get
Clarity on how PhD work translates in practice. Understand how your approach in academia is applied assessed and developed within Optiver.
Experience firsthand how researchers traders and engineers collaborate openly share knowledge and rapidly iterate to deliver breakthroughs at scale.
Connect with a PhD network consisting of peers and experts across research trading and technology.
Opportunity to be considered for a future internship if you excel within the program.
Experience Optivers office perks including daily breakfast lunch and coffee.
Plus if you stand out during the program you could receive an Internship or Graduate offer.
Who you are
PhD student graduating in 2027 or 2028
Studying a Mathematics Statistics Physics Electrical / Mechatronic / Software Engineering Computer Science Applied / Quantitative Finance or Econometrics degree.
Enjoy working with complex data-intensive problems comfortable operating in conditions of uncertainty and confident in applying programming mathematical modelling and data-driven methodologies to answer challenging questions.
Clear communicator of technical ideas who thrives in collaborative multidisciplinary environments.
Excited to test yourself in one of the most dynamic areas of the financial market.
Diversity statement
Optiver is committed to diversity and inclusion and it is hardwired through every stage of our hiring process. We encourage applications from candidates from any and all backgrounds and we welcome requests for reasonable adjustments during the process to ensure that you can best demonstrate your abilities.