Trading Data Science Graduate

Responsibilities

• Develop a deep understanding of the data, its limitations and meaning, including the investigation of data validity.
• Build and analyse data-driven predictive trading models.
• Select or build model validation metrics to evaluate model performance.
• Develop automated trading strategies – backtesting, paper and production trading.

Requirements

• Fresh grad or graduating by summer 2026 with a solid computer science, data science, math, or stats degree.
• Hands-on experience with stats and machine learning.
• Good with Python and Message Queues.
• Experience in using SQL database.
• Familiar with both Windows and Linux.
• Proven track record of using data to solve tricky problems.
• It’s a big plus if you love sports, gambling, or trading.

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