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- Tasks: Dive into data modelling and statistical learning for market prediction and trading.
- Company: Join a forward-thinking firm at the forefront of finance and technology.
- Benefits: Gain hands-on experience, mentorship, and potential career opportunities.
- Why this job: Make an impact in finance while honing your analytical and programming skills.
- Qualifications: Pursuing a degree in a quantitative field with programming knowledge.
- Other info: Collaborative team environment with a focus on innovation and growth.
The predicted salary is between 500 - 1500 £ per month.
This is an opportunity for students and researchers of advanced data modeling and statistical learning methods to apply these techniques to market prediction and systematic trading.
Job Responsibilities:
- Pre-process (validate, clean, normalize, reduce dimension) very large data sets for model estimation and event studies
- Identify features and relationships useful for the predictive modeling of market dynamics
Desirable Candidates:
- Undergraduate, MS, or PhD candidates in finance, computer science, mathematics, physics, or other quantitative discipline
- Programming in any of the following: C++, Java, C#, MATLAB, R, Python, or Perl
- Strong analytical and quantitative skills
- Demonstrated interest in financial markets and systematic trading
- Clear, concise, and proactive communicator
- Detail-oriented
- Willing to take ownership of his/her work, working both independently and within a small team
Quantitative Researcher - Intern in London employer: Point72
Contact Detail:
Point72 Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Researcher - Intern in London
✨Tip Number 1
Network like a pro! Reach out to professionals in the finance and tech sectors on LinkedIn. A friendly message can go a long way, and you never know who might have an inside scoop on opportunities.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data modelling projects or any relevant coding work. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge. Be ready to discuss your experience with programming languages like Python or R, and how you've applied them in real-world scenarios.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be perfect for you. Plus, it’s a great way to show your enthusiasm for joining our team.
We think you need these skills to ace Quantitative Researcher - Intern in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your skills in data modelling and statistical learning. We want to see how your background in finance, computer science, or any quantitative discipline makes you a great fit for this role.
Show Off Your Programming Skills: List the programming languages you're comfortable with, especially if you know C++, Python, or R. We love seeing candidates who can demonstrate their coding prowess in relation to market prediction and systematic trading.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about financial markets and how your analytical skills can contribute to our team. Be clear and concise – we appreciate proactive communicators!
Apply Through Our Website: We encourage you 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. Don’t miss out on this opportunity!
How to prepare for a job interview at Point72
✨Know Your Data Inside Out
Make sure you’re familiar with data pre-processing techniques like validation, cleaning, and normalisation. Brush up on how these methods apply to large datasets, as you might be asked to discuss your approach to handling data in real-world scenarios.
✨Show Off Your Programming Skills
Be ready to talk about your experience with programming languages relevant to the role, such as Python or R. Prepare examples of projects where you’ve used these skills, especially in the context of financial markets or predictive modelling.
✨Demonstrate Your Analytical Mindset
Expect questions that test your analytical and quantitative skills. Practice explaining complex concepts clearly and concisely, as communication is key. You might even want to prepare a few examples of how you've solved problems using your analytical abilities.
✨Express Your Passion for Finance
Let your enthusiasm for financial markets shine through. Research current trends in systematic trading and be prepared to discuss them. Showing genuine interest can set you apart from other candidates who may not have the same level of engagement.
