Junior Quant Developer

Overview

In this role you will support the Quant Trading team by analyzing and cleaning data, building scalable data storage, and extending visualization capabilities to improve trading decisions. You will gain front-office exposure in a hedge fund environment, working on data-driven methods and machine learning to identify trading opportunities. The position supports a tech-driven growth phase focused on faster, more reliable trading information and execution. This is a hands-on opportunity to shape data pipelines and analytical tools within a high-profile financial firm.

Responsibilities

• Support the Quant Trading team with data analysis
• Gather, clean, and source data using ETL tools from diverse sources
• Design and implement data storage architectures
• Extend off-the-shelf visualization tools (QlikView, Tableau, D3) and build internal visualisation tools
• Perform statistical analysis and implement machine learning for trading strategies

Key requirements

• A degree in computer science or a quantitative subject
• At least 2 years programming experience, ideally in Python
• Experience in data analysis or machine learning
• Experience of financial markets, statistics and big data

• Python programming
• Data analysis
• Machine learning
• ETL
• Data visualization
• Data storage design

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