Graduate Quantitative Analyst
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 not just to be market leaders but to build a unique franchise that continuously pushes boundaries. We know that our success is derived from a total commitment to pursue excellence in both our people and our technology which we heavily invest in.
We are currently hiring for an individual with strong quantitative skills to join our Quantitative Trading desk within the next month.
Your future role within Onyx would include:
Delivering high quality quantitative strategies in production
Monitoring continuous trading, strategy performance and all relevant risks
Implementing signals and relevant datasets within the global execution platform
Leveraging your trading and market expertise by sharing production results, methodology, data sets and processes with traders & senior management
Supporting the full-strategy trading cycle from risk calibration to trade executions
Completed Bachelors 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 in 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 which can be 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 are yet to complete your studies.