At a Glance
- Tasks: Develop and implement quantitative models to analyse commodity markets and forecast trends.
- Company: Join a leading energy analytics firm with a high-performance culture.
- Benefits: Competitive pay, bonuses, health insurance, gym memberships, and generous holidays.
- Other info: Collaborative environment with opportunities for growth and innovation.
- Why this job: Make an impact in the dynamic world of commodities with cutting-edge analysis.
- Qualifications: 3+ years in commodity trading, strong Python skills, and excellent communication.
The predicted salary is between 60000 - 80000 € per year.
Department: Quant Analytics
Employment Type: Permanent - Full Time
Location: London
Reporting To: Tim Skirrow
Description
At Energy Aspects, we pride ourselves on exceptional talent. We are seeking a Senior Quantitative Commodity Strategist to join our dynamic team. The role demands adaptability, self‑motivation, and organisational skills to plan and prioritise tasks. We offer excellent remuneration and a high‑performance culture with challenging and exciting work.
Key Responsibilities
- Develop and implement quantitative models to analyse and forecast commodity flows, prices, volatility, and market trends.
- Conduct in-depth research on fundamental and macroeconomic drivers impacting commodity markets, translating findings into actionable market views.
- Collaborate closely with quant leads in energy, options, metals, and macro to refine cross‑desk market views.
- Communicate complex quantitative concepts and market views clearly to internal stakeholders and external clients, tailoring the message to the audience’s expertise.
- Monitor and interpret developments in commodity derivative markets, with a particular focus on financial participants.
Skills, Knowledge and Expertise
- Minimum 3 years’ experience on a commodity trading desk, either as an analyst, strategist, or trader.
- Demonstrable experience with commodity derivative contracts, particularly options, including pricing, risk management, and strategy development.
- Proven track record in statistical modelling of key commodity price drivers, including fundamental and macroeconomic variables.
- Strong understanding of the role and behaviour of financial participants in global commodity markets.
- Advanced Python programming skills, with experience in data analysis, visualisation, and model development.
- Excellent communication skills, engaging in detailed, technical discussions about commodity derivative markets and conveying market views to clients.
Desirable Qualities and Additional Skills
- Advanced degree (MSc/PhD) in a quantitative discipline (Mathematics, Physics, Engineering, Economics, Finance).
- Experience working with large and complex datasets, including data cleaning, transformation, and feature engineering.
- Strong problem‑solving skills, intellectual curiosity, and a proactive approach to identifying market opportunities.
- Ability to work independently and collaboratively within a cross‑functional team.
- Experience presenting research and strategies to internal stakeholders or external clients.
Benefits
- Competitive compensation package including annual bonuses.
- Comprehensive private health insurance.
- Substantial pension contributions.
- Company share options.
- Subsidised gym memberships.
- Generous holiday policy.
Quantitative Analyst in London employer: Energy Aspects Ltd.
At Energy Aspects, we are committed to fostering a high-performance culture that values exceptional talent and innovation. Our London-based team thrives on collaboration and offers extensive opportunities for professional growth, supported by competitive compensation, comprehensive health benefits, and a generous holiday policy. Join us to engage in challenging work that not only enhances your skills but also contributes to meaningful insights in the commodity markets.
StudySmarter Expert Advice🤫
We think this is how you could land Quantitative Analyst in London
✨Tip Number 1
Network like a pro! Reach out to professionals in the commodity trading space on LinkedIn or at industry events. We can’t stress enough how valuable personal connections can be in landing that dream role.
✨Tip Number 2
Prepare for interviews by brushing up on your quantitative skills and market knowledge. We recommend practising common interview questions and even doing mock interviews with friends to boost your confidence.
✨Tip Number 3
Showcase your projects! If you’ve worked on any relevant quantitative models or analyses, make sure to discuss them during interviews. We love seeing real-world applications of your skills.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we’re always on the lookout for talented individuals who fit our high-performance culture.
We think you need these skills to ace Quantitative Analyst in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the job description. Highlight your quantitative modelling experience and any relevant projects you've worked on. We want to see how you can bring value to our team!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about the role and how your background aligns with our needs. Don’t forget to mention your experience with commodity derivatives and Python programming!
Showcase Your Communication Skills:Since you'll be communicating complex concepts, make sure your application demonstrates your ability to convey technical information clearly. We love seeing candidates who can tailor their message to different audiences!
Apply Through Our Website:We encourage you to apply directly through our website for a smoother process. It helps us keep track of applications and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Energy Aspects Ltd.
✨Know Your Numbers
As a Quantitative Analyst, you'll need to demonstrate your expertise in statistical modelling and data analysis. Brush up on key commodity price drivers and be ready to discuss how you've applied these concepts in previous roles. Prepare specific examples that showcase your analytical skills and how they led to actionable insights.
✨Master the Art of Communication
You'll be expected to communicate complex quantitative concepts clearly. Practice explaining your past projects or models to someone without a technical background. This will help you tailor your message for different audiences, whether they're internal stakeholders or external clients.
✨Stay Current with Market Trends
Keep yourself updated on the latest developments in commodity markets, especially regarding financial participants. Be prepared to discuss recent trends or news during your interview, as this shows your proactive approach and genuine interest in the field.
✨Showcase Your Programming Skills
Advanced Python skills are crucial for this role. Bring along examples of your work, such as scripts or models you've developed. If possible, prepare to discuss your experience with data visualisation and how it has helped in your analysis, as this will highlight your technical capabilities.
