Data Scientist | Post Trade Analytics

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 is committed to world-class research. We empower exceptional talent 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 fostering 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 complex problems.

Jump Trading's Post-Trade Analytics (PTA) Team is the firm's central source of truth for understanding how we trade. We measure, analyze, and optimize every dimension of our trading activity across all global markets. Our team builds the foundational analyses that traders and quantitative researchers rely on daily to make critical decisions. Operating across highly diverse datasets, our core infrastructure collects, organizes, and stores billions of data points every day, powering the analytics behind a wide array of trading strategies.

What You'll Do:

• Identify relationships between business metrics and changes on the infrastructure technology
• Partner with trading teams to perform post trade statistical analysis on trading performance
• 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 anomaly detection algorithms to detect performance degradation
• Develop and improve quantitative research frameworks using Python, C++, and other software systems
• Other duties as assigned or needed

Skills You'll Need:

• 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 world of HFT, and has demonstrated an ability to independently drive tasks and projects to completion in a team environment
• At least 3+ years of programming experience in Python with a data science and analytics focus
• 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
• Experience with C++ is a plus.
• 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