Graduate Data Analyst / Researcher – Systematic Commodities - Multi Strategy Multi Billion Doll[...]

Mondrian Alpha; London; On-site; GBP 100,000 - 125,000; Full time

Job summary

A leading global investment platform in London is seeking a Graduate Data Analyst/Researcher for their Systematic Commodities team. This role offers a fantastic opportunity to join a high-performing team and grow into a Quantitative Researcher or Developer. Candidates should have a strong academic background in STEM or related fields, coding skills in Python and SQL, and a solid foundation in statistics. Expect mentorship and robust support for professional development.

Benefits

Access to a robust data lakehouse and advanced infrastructure

Mentorship from experienced quantitative researchers

Support for continuing professional development courses

Qualifications

• Outstanding academic results at Bachelors or Masters level in a STEM, Finance/Economics, or Computer Science discipline.
• Strong coding ability in Python and SQL.
• Solid foundation in statistics.

Responsibilities

• Onboard new datasets into the research ecosystem.
• Collaborate with developers to create scalable data pipelines.
• Monitor daily data processes to ensure smooth trading operations.
• Apply statistical methods to generate new data features.
• Build visualisations and reports for portfolio management decisions.
• Incorporate unstructured data sources.

Skills

Strong coding ability in Python

Strong coding ability in SQL

Solid foundation in statistics

Education

Bachelors or Masters in STEM, Finance/Economics, or Computer Science

Job description

Overview

Graduate Data Analyst / Researcher – Systematic Commodities - Multi Strategy Multi Billion Dollar Hedge Fund - London

We are working with a leading global investment platform to identify a Graduate Data Analyst/Researcher to join their Systematic Commodities team. This is an excellent opportunity for a highly motivated graduate to start a career in systematic trading, with strong potential to evolve into a Quantitative Researcher or Developer depending on fit and progression. You will gain close exposure to an agile, high-performing team of quantitative researchers, developers, and a portfolio manager, with direct involvement in the research and trading process.

Responsibilities

As a Graduate Data Analyst/Researcher, you will:

• Onboard new datasets into the research ecosystem, including ingestion, cleaning, and enriching with metadata.
• Collaborate with developers to create scalable data pipelines and quality checks.
• Monitor daily data processes to ensure smooth trading operations.
• Apply statistical methods and research intuition to generate new data features for trading signal research.
• Build visualisations and reports to support portfolio management decisions.
• Incorporate unstructured data sources such as research reports and market commentary.

Required

• Outstanding academic results at Bachelors or Masters level in a STEM, Finance/Economics, or Computer Science discipline.
• Strong coding ability in Python and SQL.
• Solid foundation in statistics.

Preferred

• Demonstrated interest or experience in commodities trading, finance, or investment.
• Participation in data competitions (e.g. Kaggle, DataCamp) or other applied data projects.

Support & Development

• Access to a robust data lakehouse and advanced infrastructure.
• Mentorship from experienced quantitative researchers and developers.
• Firm support for continuing professional development (courses, conferences, training).
• Broader early-career training, networking, and development opportunities across the platform.

This role suits individuals who:

• Combine intellectual ability with grit, humility, and a high work ethic.
• Learn quickly, adapt, and intuitively understand team needs.
• Are detail-oriented, pragmatic, and resourceful in delivering solutions.