At a Glance
- Tasks: Build and support quant trading infrastructure while collaborating with experts in the field.
- Company: Join a leading firm in quantitative research with a focus on innovation.
- Benefits: Gain hands-on experience, mentorship, and expand your professional network.
- Other info: Dynamic 10-week internship with opportunities across various quantitative teams.
- Why this job: Make a real impact on trading strategies using cutting-edge technology and data analysis.
- Qualifications: Master's or PhD student in a quantitative field with programming skills in Python.
The predicted salary is between 22500 - 27500 £ per year.
Multi Asset Arbitrage Research interns are tasked with building, supporting, and integrating globally accessible quant trading infrastructure and interacting with Portfolio Managers and Quant Researchers to build requisite toolkits.
Alpha Capture Research interns are tasked with developing alphas utilizing LLM and machine learning methods to enhance our trading strategies within a L/S Equity investment team.
Quant Risk Management interns are tasked with working alongside Sr. Researchers and Risk Managers to improve framework models and conduct research analysis of the investment process to deliver insights related to portfolio construction and risk exposures.
Portfolio Construction Research interns are tasked with conducting factor model research and building tools that are essential to equity factors used throughout the firm.
Qualifications:
- Master's or PhD student graduating between Winter 2027 and Spring / Summer 2028 pursuing a degree in Mathematics, Statistics, Computer Science, or related quantitative field.
- Programming proficiency in Python.
- Strong knowledge of probability and statistics (ML/NLP).
- Experience working with large, complex datasets and building predictive models.
- Prior independent research experience in a data-driven environment.
- Familiarity with language models such as BERT, GPT, and XLNet, and NLP related publications is a plus.
- Outstanding analytics skills and attention to detail.
- Ability to clearly communicate complex and technical subject matters.
- Pragmatic and have a can-do attitude in approaching real-world investment problems.
- Results driven mindset, ability to work in an ambiguous environment, and work collaboratively within a team environment.
At BAM, our Researchers collaborate across all asset classes, delivering a wide range of quantitative practices from risk management, big data analysis, AI, LLM, and more. The models built by our QR team power our quantitative strategies and enhance our investment process.
As a QR Intern, you will go through a hands-on 10-week program designed to take your research abilities to the next level. You will have the opportunity to solve complex, real-world problems and make an impact by enhancing our investment and trading frameworks and strategies. Our program offers mentorship and collaboration with senior members of the team in addition to the opportunity to expand your network with the greater intern cohort.
QR interns will be hired into our Systematic, Multi-Asset Arbitrage, Risk and Portfolio Construction teams.
Overview of QR Research Internship Opportunities at BAM: Systematic Research interns are tasked with analyzing textual data using advanced NLP models to develop actionable insights.
Quantitative Researcher - Quantitative Strategies (Summer Internship) in City of Westminster 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 Researcher - Quantitative Strategies (Summer Internship) in City of Westminster
✨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 Researcher - Quantitative Strategies (Summer Internship) in City of Westminster
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.
