Overview

We are offering a Financial Data Analyst Apprenticeship for individuals looking to build strong analytical foundations in a real market environment.

This is a paid and role focuses on data, structure, and interpretation — working with large datasets to support trading, research, and decision-making across financial and event-driven markets.

You will gain hands-on experience working with real data, developing the skills required to identify patterns, extract insight, and contribute to live strategies.

What You’ll Do

  • Work with large datasets across financial and event-driven markets

  • Clean, structure, and analyse data to support trading and research

  • Identify patterns, anomalies, and inefficiencies in market data

  • Build tools and scripts to improve data workflows and analysis

  • Support the development and refinement of trading strategies

  • Collaborate with traders, researchers, and developers on data-driven projects

What We’re Looking For

  • Strong analytical and problem-solving ability

  • Comfort working with numbers and structured data

  • Attention to detail and a methodical approach

  • Interest in markets, data, or probability-based environments

  • Experience with Excel, Python, or similar tools is beneficial but not required

We are less concerned with your background and more interested in how you think.

What You’ll Gain

  • Practical experience working with real market data

  • A strong foundation in data analysis within a trading context

  • Exposure to how data informs trading decisions and strategy development

  • The opportunity to progress into more advanced analytical, research, or trading roles

  • Competitive pay for apprenticeship roles

Environment

  • Small, focused team

  • Direct exposure to real workflows and decision-making

  • Emphasis on learning through application

  • Performance-driven, but collaborative

Financial Data Analyst Apprenticeship

A proprietary trading firm deploying quantitative and event-driven strategies across global markets.

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