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- Tasks: Support trading strategies and monitor performance using your quantitative skills.
- Company: Leading financial institution in Greater London with a focus on innovation.
- Benefits: Competitive salary, professional development, and a dynamic work environment.
- Why this job: Join a top firm and make an impact in the energy markets with your expertise.
- Qualifications: Strong background in quantitative fields and excellent Python skills.
- Other info: Immediate start for graduates from 2025 or earlier, with great career growth potential.
The predicted salary is between 36000 - 60000 £ per year.
A leading financial institution in Greater London seeks a quantitative strategist to deliver high-quality strategies and monitor trading performance. The ideal candidate has a strong background in quantitative fields, excellent Python skills, and is graduating in 2025 or earlier.
Responsibilities include supporting the trading cycle and leveraging market expertise. This role starts immediately, requiring candidates to have already completed their studies.
Graduate Quantitative Analyst: ML, Python, Energy Markets employer: Onyx Capital Group
Contact Detail:
Onyx Capital Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Graduate Quantitative Analyst: ML, Python, Energy Markets
✨Tip Number 1
Network like a pro! Reach out to alumni or professionals in the finance and quantitative analysis fields. A friendly chat can lead to insider info about job openings or even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python projects, especially those related to energy markets or trading strategies. This will give you an edge and demonstrate your practical knowledge.
✨Tip Number 3
Prepare for interviews by brushing up on your quantitative skills and market knowledge. Practice common interview questions and consider mock interviews with friends or mentors to boost your confidence.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to get noticed by our hiring team.
We think you need these skills to ace Graduate Quantitative Analyst: ML, Python, Energy Markets
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your quantitative skills and Python experience. We want to see how your background aligns with the role, so don’t be shy about showcasing relevant projects or coursework!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about energy markets and how your skills can contribute to our team. Keep it concise but impactful!
Showcase Your Projects: If you've worked on any projects related to machine learning or trading strategies, include them in your application. We love seeing practical applications of your skills, so don’t hold back!
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates!
How to prepare for a job interview at Onyx Capital Group
✨Know Your Numbers
Brush up on your quantitative skills and be ready to discuss relevant concepts. Make sure you can explain how you've applied these skills in practical scenarios, especially in relation to trading strategies.
✨Python Proficiency is Key
Since Python is crucial for this role, prepare to showcase your coding skills. Consider doing a quick project or two that demonstrates your ability to manipulate data and create algorithms relevant to energy markets.
✨Understand the Market
Familiarise yourself with current trends in energy markets and trading performance metrics. Being able to discuss recent developments will show your enthusiasm and understanding of the industry.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's trading strategies and how they measure success. This not only shows your interest but also helps you gauge if the company aligns with your career goals.
