At a Glance
- Tasks: Dive into data analysis and collaborate on innovative projects in commodities trading.
- Company: Join Balyasny Asset Management, a leader in finance and technology.
- Benefits: Gain hands-on experience, mentorship, and exposure to cutting-edge research.
- Other info: Work in a dynamic London office with opportunities for growth and learning.
- Why this job: Make an impact in the finance world while honing your data science skills.
- Qualifications: Pursuing a master's in STEM with strong coding skills; self-starter attitude required.
The predicted salary is between 63000 - 77000 £ per year.
fund, offering hands‑on experience at the intersection of commodities trading and data science.
The role will involve working with large datasets, and an interest in AI is required.
RESPONSIBILITIES Responsibilities include, but are not limited to
- Work alongside a Portfolio Manager focused on European power.
Collaborate directly with the Portfolio Manager and team to brainstorm creative uses of data in the investment process.
- Conduct independent, project-oriented quantitative research using a variety of datasets.
- Conduct forecast and model‑error analysis and provide findings to improve forecast and model accuracy.
- Identify, ingest, and analyze new datasets to assess potential improvements or enhancements to existing models and infrastructure.
- Actively use AI to help solve complex problems.
QUALIFICATIONS & REQUIREMENTS
- Currently pursuing a master's degree in Computer Science, Mathematics, Engineering, Data Science, or any STEM related field.
Pure Science majors with strong coding skills are also welcome to apply.
Location
In person in the London Office.
Availability
Availability to work 20 hours per week starting in the Autumn for 6 months.
Strong analytical and data processing skills (Python/SQL), and knowledge of version control (Git).
Knowledge of common statistical modelling methods and algorithms.
Attention to detail - takes ownership of projects, strong focus on quality, correctness, and intuitiveness of output.
Self-starter, results-driven attitude with a great desire to learn and ability to multitask.
Strong written and verbal communication skills, outstanding attention to detail and strong organization skills.
About Balyasny Asset Management L. P. (BAM)
BAM founded in 2001, is a global institutional investment firm.
We strive to deliver consistent, uncorrelated, absolute returns in all market environments by fostering a culture of research, innovation, and collaboration.
BAM exists at the intersection of finance and technology, combining the deep industry knowledge of leading portfolio managers and financial analysts with software engineers and quantitative researchers.
We leverage the collective expertise of our teams to seek out new investment opportunities, analyze market conditions, minimize risk, and provide superior service to our investment partners.
OVERVIEW
Balyasny Asset Management is looking for a Quantitative Analyst Intern to join a London-based Commodities Portfolio Management team focused on European power and support projects related to data gathering, data analysis, and data-driven idea generation.
- This is an excellent opportunity to conduct cutting‑edge research at a leading hedge
- #J-18808-Ljbffr
Quantitative Analyst, Commodities (Seasonal Internship) employer: Balyasny Asset Management LP
As a Senior Emerging Markets Risk Manager, you will join a dynamic and collaborative team that values innovation and expertise in risk management. Our firm offers a supportive work culture that prioritises professional growth, providing ample opportunities for development through mentorship and training. Located in a vibrant financial hub, we empower our employees to make impactful contributions while enjoying a competitive benefits package and a commitment to work-life balance.
Contact Details:
Balyasny Asset Management LP Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Quantitative Analyst, Commodities (Seasonal Internship)
✨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, Commodities (Seasonal Internship)
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 Balyasny Asset Management LP 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 Balyasny Asset Management LP
✨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 Balyasny Asset Management LP.
✨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 Balyasny Asset Management LP that you’re not just looking for experience, but that you're keen to contribute and grow within the team.
