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- Tasks: Transform trade ideas into actionable models and assess risk in a fast-paced environment.
- Company: Global commodities trading firm with a focus on innovation and analytics.
- Benefits: Attractive salary, annual bonus, onsite gym, and extensive training opportunities.
- Why this job: Join a dynamic team and make an impact in the world of trading and analytics.
- Qualifications: Degree in a technical field and strong Python programming skills required.
- Other info: Thriving workplace with excellent career advancement potential.
The predicted salary is between 36000 - 60000 £ per year.
A global commodities trading firm is seeking a Quantitative Analyst to join their team in London. This role involves translating trade ideas into deal structures, developing pricing models, and evaluating risk.
Ideal candidates will have:
- a degree in a technical discipline
- strong Python skills
- the ability to work under pressure
The company offers comprehensive training and a robust benefits package including an annual bonus and onsite gym facilities.
Quantitative Strategist: Front-Office Analytics & Modeling employer: Javelin Group
Contact Detail:
Javelin Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Strategist: Front-Office Analytics & Modeling
✨Tip Number 1
Network like a pro! Reach out to professionals in the commodities trading space on LinkedIn. A friendly message can go a long way in getting your foot in the door.
✨Tip Number 2
Show off your skills! Prepare a portfolio of your Python projects or any relevant models you've developed. This will help you stand out during interviews and showcase your technical prowess.
✨Tip Number 3
Practice makes perfect! Brush up on your quantitative analysis skills and be ready to tackle some real-world problems during the interview process. We recommend using mock interviews to get comfortable.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Quantitative Strategist: Front-Office Analytics & Modeling
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your technical skills, especially in Python. We want to see how you can translate your knowledge into practical applications, so don’t hold back on showcasing your projects or relevant experience!
Tailor Your Application: Take a moment to customise your CV and cover letter for this role. Mention specific experiences that relate to pricing models and risk evaluation. We love seeing candidates who take the time to connect their background with what we’re looking for.
Keep It Clear and Concise: When writing your application, clarity is key! Use straightforward language and avoid jargon unless it’s necessary. We appreciate a well-structured application that gets straight to the point without fluff.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy to do!
How to prepare for a job interview at Javelin Group
✨Know Your Numbers
Brush up on your quantitative skills and be ready to discuss specific models or analyses you've worked on. The firm will want to see how you can translate complex data into actionable insights, so prepare examples that showcase your analytical prowess.
✨Python Proficiency
Since strong Python skills are a must, make sure you can demonstrate your coding abilities. Consider preparing a small project or example code that highlights your problem-solving skills and familiarity with relevant libraries used in analytics.
✨Stay Calm Under Pressure
This role requires working under pressure, so practice answering questions in a calm and collected manner. You might even want to simulate high-pressure scenarios with a friend or mentor to get comfortable thinking on your feet.
✨Understand the Trading Landscape
Familiarise yourself with current trends in commodities trading and how quantitative analysis plays a role. Being able to discuss recent market developments or case studies will show your genuine interest in the field and help you stand out.
