At a Glance
- Tasks: Deliver high-quality quantitative strategies and monitor trading performance.
- Company: Onyx Capital Group, a leader in oil derivatives with a commitment to excellence.
- Benefits: Competitive salary, dynamic work environment, and opportunities for growth.
- Other info: Immediate start; ideal for those graduating in 2025 or earlier.
- Why this job: Join a team that pushes boundaries and makes an impact in the energy market.
- Qualifications: Bachelor's or advanced degree in a quantitative field and strong Python skills.
The predicted salary is between 36000 - 60000 £ per year.
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.
Responsibilities
- 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 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.
Graduate Quantitative Analyst employer: Onyx Capital Group
At Onyx, we pride ourselves on being an exceptional employer that fosters a culture of high performance and continuous development. Our commitment to employee growth is evident through our in-house learning initiatives, providing opportunities for creative collaboration and skill enhancement in a dynamic environment. As a Mid-Weight Video Editor, you'll not only contribute to impactful educational content but also thrive in a supportive atmosphere that values innovation and teamwork.
StudySmarter Expert Advice🤫
We think this is how you could land Graduate Quantitative Analyst
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Onyx Capital Group.
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We think you need these skills to ace Graduate Quantitative Analyst
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Onyx Capital Group, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Onyx Capital Group. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Onyx Capital Group
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Onyx Capital Group!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
