Investment Data Analyst

Capula is seeking an Investment Data Analyst to join our Strategy team, supporting traders and strategists across the rates and inflation trading teams. This role offers an exciting opportunity to play a key part in a world-renowned, dynamic, and global quantitative hedge fund.

The successful candidate will be responsible for efficient data gathering, basic data scraping, and creative problem-solving to collect, organize, and analyse relevant datasets. This position provides multiple access points to senior Portfolio Managers across the business and the opportunity to work alongside a high-performing group of strategists.

Key Responsibilities

1. Data Gathering & Scraping
• Collect and curate data from multiple sources, including manual extraction and basic data scraping, to ensure comprehensive datasets are available for analysis.
• Develop creative solutions and workarounds to gather hard-to-reach data, ensuring no gaps in critical information.
• Identify and compile global economic indicators and other relevant macroeconomic data, to support the development of trade ideas and market models.
2. Data Management
• Organise, clean, and structure large datasets to ensure accuracy, consistency, and accessibility for the strategy team and portfolio managers.
• Build and maintain databases or tools to store, retrieve, and manage data efficiently, enabling streamlined workflows for real-time analysis.
• Transform raw data into actionable insights by tailoring it for specific trading strategies and portfolio analysis.
3. Collaboration & Strategy Support
• Partner closely with portfolio managers, traders, and strategists to identify data requirements and provide timely, accurate support for idea generation and risk analysis.
• Contribute to the development and improvement of quantitative models, tools, and frameworks that assist in evaluating trading strategies.
• Collaborate on scenario analysis, backtesting, and hypothesis testing to ensure robust and data-driven trade ideas are presented to the team.
4. Big Data Collaboration
• Work alongside broader technology teams to leverage advanced tools and methodologies when handling more complex and high-volume datasets.
• Assist in bridging the gap between raw data and actionable insights by integrating big data techniques into the team’s workflow.
• Explore opportunities to automate data processes, enhance model efficiency, and integrate innovative data solutions to support the trading and strategy team.

Requirements

What we look for:

• Candidates with a degree in a highly quantitative discipline (e.g. Mathematics, Statistics, Computer Science, Physics, Engineering, or another quantitative field).
• 1 - 6 years of experience in data analysis, quantitative research, or a relevant investment-focused role.
• Strong understanding of global markets, with a particular focus on macroeconomic data and trends.
• Experience working with large datasets, including sourcing, cleaning, and organizing data for analysis.
• Proficiency in programming and data tools such as Python, SQL, R, VBA, Excel, C++, or Matlab to manage, analyse, and visualize data.
• The ability to develop tools, models, and frameworks to support with providing actionable insights.
• Strong quantitative and analytical skills with a demonstrated ability to solve problems creatively and efficiently.
• Excellent communication skills, with the ability to present data-driven insights to portfolio managers and senior stakeholders.
• A proactive, collaborative, and detail-oriented mindset, with a passion for working in a dynamic and fast-paced environment.
• An interest in macro strategy, data analysis, and using data to support trading decisions across asset classes.

Benefits

Capula is committed to helping all employees flourish in their role, through support with your professional development, and exposure to challenges that you may not be offered in a larger organisation. We will provide:

• A competitive salary and bonus scheme with annual reviews;
• 25 days’ paid annual leave;
• Excellent staff development and training opportunities;
• Free breakfast, lunch and dinner in our employee restaurant;
• Medical insurance, dental insurance and other benefits.