Data Scientist | Post Trade Analytics
Jump TradingAbout the Role
Jump Trading's Post Trade Analytics (PTA) Team plays a crucial role in measuring and optimizing performance and trade execution across global markets. As a Data Scientist on the PTA team, you will conduct cutting-edge analyses on extensive trading performance data to uncover competitive edges, answer complex business questions, and identify root causes of underperformance. This role offers a comprehensive view into Jump's business through data analytics, along with opportunities to develop both trading and technical expertise.
- Partner with trading teams to perform post-trade analysis linking PnL metrics with latency and infrastructure measurements
- Identify relationships between business metrics and technology infrastructure changes
- Conduct research and develop mathematical methodologies to quantify performance impact
- Design innovative alert detection algorithms to identify business opportunities and performance degradation
- Develop and improve quantitative research frameworks
Requirements
- Ability to work closely with and collaborate across trading and trading infrastructure teams
- Instinctively curious, self-driven, keen to dive into the complex world of HFT
- Demonstrated ability to independently drive tasks and projects to completion in a team environment
- Strong data 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
- Background in statistics
- Reliable and predictable availability