Jump Trading Group is committed to world class research. We empower exceptional talents in Mathematics Physics and Computer Science to seek scientific boundaries push through them and apply cutting edge research to global financial markets. Our culture is unique. Constant innovation requires fearlessness creativity intellectual honesty and a relentless competitive streak. We believe in winning together and unlocking unique individual talent by incenting collaboration and mutual respect. At Jump research outcomes drive more than superior risk adjusted returns. We design develop and deploy technologies that change our world fund start-ups across industries and partner with leading global research organizations and universities to solve problems.
Jump Tradings Post Trade Analytics Team plays a crucial role in measuring and optimizing performance and trade execution across all global markets where the firm operates. This team is responsible for developing operating and maintaining performance measurement solutions as well as conducting a wide range of post-trade analyses for various departments including trading business development and other central the teams core infrastructure collects organizes and stores billions ofdata points related to trading performance.
As a Data Scientist on the PTA team you will conduct cutting-edge analyses on this extensive data to uncover competitive edges answer complex business questions and identify root causes of underperformance. This role offers a comprehensive view into Jumps business through the lens of data along with the opportunity to develop both trading and technical expertise. Your work will significantly contribute to Jumps success by mining and enriching data to drive informed decisions and strategies. The ideal candidate will have the ability to work closely with and collaborate across trading and trading infrastructure teams. We are looking for an individual who is instinctively curious self-driven keen to dive into the complex trading world and has demonstrated an ability to independently drive tasks and projects to completion in a team environment.
What Youll Do:
- Partner with trading teams to perform post trade analysis on trading performance linking PnL metrics with latency and other infrastructure measurements
- Identify relationships between business metrics and changes in the infrastructure technology
- Conduct research for the purpose of modeling exchange performance
- Develop mathematical methodology to quantify the impact that specific internal applications have on general performance
- Design innovative alert detection algorithms to proactively detect new business opportunities performance degradation or abnormal PnL-impacting events
- Participate in the building of new and innovativedatasets
- Develop and improve quantitative research frameworks
- Other duties as needed
Skills Youll Need:
- At least 5years of programming experience in Python with adata science and analytics focus
- Strongdata intuition combined with a healthy skepticism for easy conclusions
- Excellent problem-solving abilities
- Experience in documenting and communicating analysis to both technical and business audiences including members of the senior leadership team
- Background in statistics
- Experience with SQL is a plus.
- Practical experience with machine learning technics is a plus.
- Understanding of network protocols (IP UDP TCP Ethernet) is a plus
- Reliable and predictable availability
- Shanghai based
Required Experience:
IC
Jump Trading Group is committed to world class research. We empower exceptional talents in Mathematics Physics and Computer Science to seek scientific boundaries push through them and apply cutting edge research to global financial markets. Our culture is unique. Constant innovation requires fearles...
Jump Trading Group is committed to world class research. We empower exceptional talents in Mathematics Physics and Computer Science to seek scientific boundaries push through them and apply cutting edge research to global financial markets. Our culture is unique. Constant innovation requires fearlessness creativity intellectual honesty and a relentless competitive streak. We believe in winning together and unlocking unique individual talent by incenting collaboration and mutual respect. At Jump research outcomes drive more than superior risk adjusted returns. We design develop and deploy technologies that change our world fund start-ups across industries and partner with leading global research organizations and universities to solve problems.
Jump Tradings Post Trade Analytics Team plays a crucial role in measuring and optimizing performance and trade execution across all global markets where the firm operates. This team is responsible for developing operating and maintaining performance measurement solutions as well as conducting a wide range of post-trade analyses for various departments including trading business development and other central the teams core infrastructure collects organizes and stores billions ofdata points related to trading performance.
As a Data Scientist on the PTA team you will conduct cutting-edge analyses on this extensive data to uncover competitive edges answer complex business questions and identify root causes of underperformance. This role offers a comprehensive view into Jumps business through the lens of data along with the opportunity to develop both trading and technical expertise. Your work will significantly contribute to Jumps success by mining and enriching data to drive informed decisions and strategies. The ideal candidate will have the ability to work closely with and collaborate across trading and trading infrastructure teams. We are looking for an individual who is instinctively curious self-driven keen to dive into the complex trading world and has demonstrated an ability to independently drive tasks and projects to completion in a team environment.
What Youll Do:
- Partner with trading teams to perform post trade analysis on trading performance linking PnL metrics with latency and other infrastructure measurements
- Identify relationships between business metrics and changes in the infrastructure technology
- Conduct research for the purpose of modeling exchange performance
- Develop mathematical methodology to quantify the impact that specific internal applications have on general performance
- Design innovative alert detection algorithms to proactively detect new business opportunities performance degradation or abnormal PnL-impacting events
- Participate in the building of new and innovativedatasets
- Develop and improve quantitative research frameworks
- Other duties as needed
Skills Youll Need:
- At least 5years of programming experience in Python with adata science and analytics focus
- Strongdata intuition combined with a healthy skepticism for easy conclusions
- Excellent problem-solving abilities
- Experience in documenting and communicating analysis to both technical and business audiences including members of the senior leadership team
- Background in statistics
- Experience with SQL is a plus.
- Practical experience with machine learning technics is a plus.
- Understanding of network protocols (IP UDP TCP Ethernet) is a plus
- Reliable and predictable availability
- Shanghai based
Required Experience:
IC
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