Post-Trade Analytics Data Scientist

Jump Crypto; Hong Kong; On-site; HKD 942,000 - 1,413,000; Full time

Job summary

Jump Trading Group's Post-Trade Analytics (PTA) Team is the firm's central source of truth for understanding how we trade. We build analyses across billions of data points daily to support traders and researchers in making critical decisions.

The role focuses on developing Python and C++ analytics, performing post-trade performance analyses, and designing algorithms to detect anomalies and infrastructure impacts, in collaboration with global trading teams.

Qualifications

• 3+ years of Python programming with a data science focus.
• Strong data intuition and skepticism of shallow conclusions.
• Experience documenting analyses for technical and business audiences.
• Background in statistics.
• SQL and C++ familiarity is a plus.
• Knowledge of network protocols is a plus.

Responsibilities

• Identify relationships between business metrics and infrastructure changes.
• Partner with trading teams for post-trade statistical analysis.
• Conduct research to model exchange performance.
• Develop methods to quantify impact of internal applications.
• Design anomaly detection algorithms for performance degradation.
• Develop quantitative research frameworks using Python, C++, and other systems.
• Other duties as assigned or needed.

Skills

Python

Data analytics

SQL

C++

Statistics

Machine Learning

Communication

Team collaboration

Problem solving

Job description

Jump Trading Group's Post-Trade Analytics (PTA) Team is the firm's central source of truth for understanding how we trade. We build analyses across billions of data points daily to support traders and researchers in making critical decisions.

The role focuses on developing Python and C++ analytics, performing post-trade performance analyses, and designing algorithms to detect anomalies and infrastructure impacts, in collaboration with global trading teams.