Data Scientist, Post Trade Analytics
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The role
Conduct cutting-edge post-trade analyses to link PnL metrics with latency and infrastructure measurements.
Partner with trading teams to model exchange performance and quantify the impact of internal applications on overall performance.
Develop mathematical methodologies to quantify infrastructure effects and build innovative datasets for analysis.
Design alerting algorithms to proactively detect new business opportunities, performance degradations, or abnormal PnL events.
Advance quantitative research frameworks and collaborate across trading and infrastructure teams to drive data-driven decisions.
Communicate findings to technical and business audiences, including senior leadership, to inform strategy and optimization.
Partner with trading teams to model exchange performance and quantify the impact of internal applications on overall performance.
Develop mathematical methodologies to quantify infrastructure effects and build innovative datasets for analysis.
Design alerting algorithms to proactively detect new business opportunities, performance degradations, or abnormal PnL events.
Advance quantitative research frameworks and collaborate across trading and infrastructure teams to drive data-driven decisions.
Communicate findings to technical and business audiences, including senior leadership, to inform strategy and optimization.
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CityShanghai, China