Graduate Quantitative Analyst

Onyx Capital Group; Greater London; On-site; GBP 60,000 - 80,000; Full time

Job summary

A leading trading firm in Greater London is seeking an individual with strong quantitative skills to join their Quantitative Trading desk. This role involves delivering high-quality quantitative strategies, monitoring trading and strategy performance, and implementing signals within the global execution platform. The ideal candidate will have a completed degree in a quantitative field, strong Python skills, and an eagerness to explore global markets. An immediate start is required.

Qualifications

• Strong knowledge in statistics and machine learning.
• Capacity to multi‑task in a fast‑paced environment.
• Curiosity about global energy and commodities markets.

Responsibilities

• Deliver high quality quantitative strategies in production.
• Monitor continuous trading, strategy performance and relevant risks.
• Implement signals and relevant datasets within the global execution platform.

Skills

Statistics

Machine Learning

Python

Communication

Attention to Detail

Multi-tasking

Education

Bachelor's or advanced degree in a quantitative field

Job description

Onyx Capital Group was founded by traders on the principles of expertise, vision and excellence. The company has rapidly grown to command across the entire spectrum of oil derivative products. Our aim is to be market leaders while building a unique franchise that continuously pushes boundaries. We invest heavily in technology and our people.

About the Role

We are hiring an individual with strong quantitative skills to join our Quantitative Trading desk within the next month.

Responsibilities

• Deliver high quality quantitative strategies in production
• Monitor continuous trading, strategy performance and all relevant risks
• Implement signals and relevant datasets within the global execution platform
• Share production results, methodology, data sets, and processes with traders and senior management
• Support the full‑strategy trading cycle from risk calibration to trade executions

Requirements

• Completed Bachelor’s or advanced degree in a quantitative field such as data science, statistics, mathematics, physics, or engineering, graduating in 2025 or earlier
• Strong knowledge in statistics and machine learning
• Capacity to multi‑task in a fast‑paced environment while keeping strong attention to detail
• Strong Python skills/experience essential
• Experience exploring large datasets across multiple time frames
• Curiosity about global energy and commodities markets
• Intellectual curiosity to explore new data sets, solve complex problems, drive innovative processes, and connect the dots between multiple fields
• Capacity to work with autonomy within a collegial and collaborative environment
• Trading expertise and market knowledge leveraged in the systematic space is a plus
• Good communication skills

This role is for an immediate start and therefore we would advise against applying if you have not yet completed your studies.