Graduate Quantitative Analyst
At a glance
Mid-level Data Science role at Onyx Capital Group Limited. Singapore · full-time.
Pay not stated Data Science salary
dataroles summary, based on the employer's posting.
What you'll do
- Build quantitative strategies for live use, then track how they perform alongside trading activity and related risks
- Put signals and their supporting datasets into the global execution platform
- Share live results, methods, data and workflows with traders and senior managers
- Support the trading process from setting risk levels through to executing trades
What you bring
- You have completed a quantitative bachelor's or advanced degree and graduated by 2025
- You bring strong statistical and machine-learning knowledge, plus programming ability in Python and C++
- You have worked with large datasets spanning multiple time frames
Who this fits
This role suits a quantitatively trained graduate who can work independently, manage competing tasks carefully and collaborate with others. It is based on-site in Singapore and calls for an immediate start, so you should have finished your studies.
From the employer
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
Requirements
- 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 programming skills and experience in Python and C++ are 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.
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