At a Glance
- Tasks: Implement quantitative models in Python and collaborate on live research projects.
- Company: Join Energy Aspects, a leader in commodity analytics with a vibrant team culture.
- Benefits: Competitive pay, health insurance, gym memberships, and generous holiday policy.
- Other info: Enjoy a dynamic workplace with social clubs and global treats!
- Why this job: Gain hands-on experience in commodity markets while working with industry experts.
- Qualifications: Studying a quantitative degree with strong Python skills and a passion for finance.
The predicted salary is between 20000 - 30000 £ per year.
At Energy Aspects, we pride ourselves on the exceptional talent that forms the foundation of our remarkable success story. We are excited to announce that we are looking for a Summer Quantitative Commodity Strategy Intern to join our dynamic Quant Analytics team.
The role demands adaptability and a commitment to excellence as part of a collaborative team. The ideal candidate will be self‑motivated, technically strong, and eager to apply quantitative skills to real problems in commodity derivative markets. In exchange, we offer a stimulating environment, exposure to industry‑leading research, and the opportunity to work alongside some of the most respected practitioners in the field.
Key Responsibilities- Implement quantitative models and analytical tools in Python, working from briefs provided by senior team members.
- Collaborate with quant strategists across energy, options, metals, and macro to support live research projects.
- Communicate findings clearly, both in written outputs and in team discussions.
- Monitor and develop an understanding of commodity derivative markets, with a particular focus on financial participants and positioning dynamics.
- Currently studying towards a final year undergraduate degree or a Master's degree in a quantitative discipline (e.g. Mathematics, Physics, Engineering, Economics, Finance).
- Strong Python programming skills, with experience in data analysis and visualisation.
- Genuine interest in commodity or financial markets, and an eagerness to develop market knowledge alongside technical skills.
- Strong problem‑solving skills, intellectual curiosity, and a proactive approach to tasks.
- Ability to work both independently and as part of a collaborative, cross‑functional team.
- Familiarity with commodity derivative markets or options theory.
- Experience working with financial or time‑series datasets.
- Prior research, trading, or data‑intensive internship or project experience.
Welcome to our unique workplace where a passion for our industry‑leading product sits at the heart of who we are. Life at EA is completely eclectic, fostered through the global nature of the business and a real appreciation of the many cultures of our diverse team. We unite as a single, cohesive team through an array of social clubs that cater to a spectrum of interests, from running and yoga to football and culinary adventures. These groups create a collegial and dynamic atmosphere that extends beyond work, promoting a healthy and balanced lifestyle for our team.
Our strategically located offices are all set in prestigious buildings, offering you the convenience of nearby gyms, retail therapy, diverse dining options, and accessible public transport. Our office spaces are thoughtfully equipped to enhance your day‑to‑day experience whether working independently or collaborating with teammates. Enjoy the simple pleasures of a freshly brewed coffee, healthy snacks, and a social space for celebratory moments. One of the unique traits of life at Energy Aspects is the way our international colleagues often delight us with treats from around the globe. It’s safe to say you’ll never go hungry in our offices!
We recognize your contribution with a competitive compensation package that includes annual bonuses, comprehensive private health insurance, and substantial pension contributions. Additionally, we offer company share options, subsidized gym memberships, and a generous holiday policy to support your financial and personal well‑being. Join a company that values your professional growth and personal fulfilment, all within a supportive and engaging environment.
Quantitative Analyst Internship in London employer: Energy Aspects Ltd.
At Energy Aspects, we are committed to fostering a vibrant and inclusive workplace that champions professional growth and personal fulfilment. Our London office not only provides a stimulating environment for aspiring Quantitative Analysts but also offers a wealth of benefits including competitive compensation, comprehensive health insurance, and a variety of social clubs that promote a balanced lifestyle. Join us to collaborate with industry leaders and immerse yourself in a culture that celebrates diversity and innovation.
StudySmarter Expert Advice🤫
We think this is how you could land Quantitative Analyst Internship in London
✨Join Data-Science Meetups
Get yourself along to local data-science meetups or workshops. They're goldmines for networking, and you'll learn from industry pros who might just point you in the direction of internships. Plus, discussing the latest trends with like-minded individuals can really amp up your game.
✨Utilise University Career Services
Check in with your uni's career services since they often have connections with companies looking for interns. They might even organise information sessions with firms, which can be a great chance for you to learn more about potential internships and make some key contacts.
✨Show Off Your Stuff on GitHub
If you're into data science, having a GitHub profile with your projects is essential. Make sure your portfolio is public and showcases your best work! Recruiters love to see your coding skills and problem-solving approach, and it’s a brilliant way to stand out.
✨Apply Directly on Our Website
Don’t forget to check out the internships listed on our site! It's always a good idea to apply directly through our website because it makes your application easier for our team to find, and you might just catch the hiring manager’s eye by showcasing exactly what you're passionate about in data science.
We think you need these skills to ace Quantitative Analyst Internship in London
Some tips for your application 🫡
Show Off Your Technical Skills:For a data science internship, we want to see those analytical skills shine! List your programming languages, like Python or R, and make sure to highlight any relevant projects or courses you've completed. If you've dabbled with tools like Pandas, NumPy, or machine learning algorithms, don’t hold back – include those in your CV!
Share Your Curiosity in Your Cover Letter:As an intern, your motivation and eagerness to learn are key! In your cover letter, talk about specific data science concepts that excite you and how this internship at Energy Aspects Ltd. will help you grow. Share what you hope to achieve and how you plan to tackle real-world data problems - we love enthusiasm!
Include Any Relevant Certifications:If you've earned any certifications, such as from Coursera or DataCamp, make sure to include these in your application. They show us that you're proactive and committed to expanding your data science skillset. This could make a real difference in how we assess your application!
Keep It Relevant and Concise:Remember, as an intern, you don’t need to have decades of experience. Focus on showcasing relevant coursework, personal projects, or even related volunteer work in data science. Keep your CV and cover letter concise but impactful – we appreciate clear and straightforward communication!
How to prepare for a job interview at Energy Aspects Ltd.
✨Brush Up on Your Coding Skills
As a data science intern, you might get grilled on your programming skills. Expect to tackle some coding challenges using languages like Python or R. We recommend practising basic algorithms or data manipulation tasks so you can show off your tech skills with confidence.
✨Show Off Your Projects
Prepare to discuss any projects you’ve done, whether in your studies or on your own time. Having a strong portfolio of data analyses or machine learning models will really set you apart. We can use platforms like GitHub to showcase your work to impress Energy Aspects Ltd..
✨Know Your Stats and ML Basics
Brush up on your statistics and machine learning concepts because interviewers love to dig into this! Be ready to explain your understanding of algorithms or how you would approach a given data problem. This will highlight your theoretical background alongside your practical skills.
✨Be Eager to Learn and Adapt
Internships are all about potential and growth. Make sure you convey your eagerness to learn and adapt to new tools or methodologies. Show Energy Aspects Ltd. that you’re not just looking for experience, but that you're keen to contribute and grow within the team.
