Data Engineer | Post Trade Analytics
Jump TradingAbout the Role
Join Jump Trading Group's Post Trade Analytics Team, which plays a crucial role in measuring and optimizing performance and trade execution across all global markets. This team develops, operates, and maintains performance measurement solutions while conducting post-trade analyses for trading, business development, and central teams. In this role, you will develop both business and technical expertise while contributing to global post-trade analytics efforts. You'll build and maintain sophisticated datasets and data pipelines that shape how the firm trades, working with billions of data points related to trading performance daily.
- Build, operate, and maintain complex datasets and end-to-end dataset pipelines for analytics and research use cases
- Partner directly with traders, quantitative researchers, and data scientists to understand data requirements and deliver reliable data products
- Ensure data quality and reliability through validation frameworks, monitoring, alerting, and incident response
- Optimize data processing and workflows for performance, cost, and robustness
- Maintain and improve internal tools, documentation, and operational runbooks
Requirements
- 3+ years of experience as a Data Engineer or Software Engineer working extensively with large-scale data
- Proficiency in Python or C++ (Strong skills in at least one, with a willingness to work across both)
- Proven expertise in building, operating, and scaling ETL/ELT pipelines, including orchestration, scheduling, and dependency management
- Strong command of SQL and the broader data analytics ecosystem, including familiarity with libraries such as Pandas and NumPy
- Sharp analytical and problem-solving abilities, paired with a strong curiosity to understand the financial business logic behind the data
- Comfort and proficiency working within Linux environments
- Reliable and predictable availability