Data Scientist - Trading

In this position, you will:

• Collaborate with trading teams to analyze trading outcomes, linking profit and loss metrics with latency and other infrastructure data.
• Explore how changes in infrastructure technology impact business metrics.
• Conduct research to develop models that assess exchange performance.
• Create mathematical methods to evaluate how specific internal applications influence overall performance.
• Design advanced algorithms to identify new business opportunities, detect performance issues, or pinpoint events affecting profit and loss.
• Contribute to the creation of novel datasets.
• Enhance and refine quantitative research methodologies.
• Perform additional related tasks as needed.

Required Skills:

• Over 3 years of experience programming in Python with a focus on data science and analytics.
• Strong ability to interpret data with a critical mindset.
• Excellent problem-solving skills.
• Proficient in documenting and presenting analysis to both technical and business stakeholders, including senior leadership.
• Background in statistics.
• Experience with SQL is advantageous.
• Familiarity with Machine Learning techniques is a plus.
• Understanding of network protocols (IP, UDP, TCP, Ethernet) is beneficial.
• Dependable and consistent availability.