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- Tasks: Transform complex data into actionable insights and collaborate with investment pros.
- Company: Global alternative investment firm with a focus on innovation.
- Benefits: Comprehensive medical insurance, wellness programs, and more.
- Other info: Exciting entry-level role with growth opportunities in a dynamic environment.
- Why this job: Dive into data science and make a real impact in investment research.
- Qualifications: Master's or PhD in a quantitative field; strong Python and SQL skills.
The predicted salary is between 30000 - 40000 £ per year.
A global alternative investment firm is seeking an entry-level Data Scientist to work on alternative data and collaborate with investment professionals.
Responsibilities include:
- Transforming complex datasets into actionable insights
- Applying advanced statistical and machine learning techniques
Ideal candidates will have:
- A Master's degree or PhD in a quantitative field
- Strong programming skills in Python and SQL
The firm offers comprehensive benefits including medical insurance and wellness programs.
Data Scientist, Alternative Data & Investment Research employer: Point72
Contact Detail:
Point72 Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist, Alternative Data & Investment Research
✨Tip Number 1
Network like a pro! Reach out to professionals in the investment and data science fields on LinkedIn. A friendly message can go a long way, and you never know who might have a lead on that perfect entry-level role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects in Python and SQL. This is your chance to demonstrate how you can transform complex datasets into actionable insights, just like the job requires.
✨Tip Number 3
Prepare for interviews by brushing up on your statistical and machine learning techniques. We recommend practicing common interview questions and even doing mock interviews with friends or mentors to build your confidence.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Data Scientist, Alternative Data & Investment Research
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your relevant skills and experiences that align with the Data Scientist role. We want to see how your background in quantitative fields and programming in Python and SQL makes you a perfect fit for us!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about alternative data and investment research. Let us know how your academic achievements and projects relate to the responsibilities outlined in the job description.
Showcase Your Projects: If you've worked on any relevant projects, whether during your studies or independently, make sure to mention them. We love seeing practical applications of your skills, especially those involving advanced statistical and machine learning techniques!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates regarding your application status!
How to prepare for a job interview at Point72
✨Know Your Data Inside Out
Make sure you’re familiar with the types of alternative data the firm might be using. Brush up on how to transform complex datasets into actionable insights, as this will likely come up in your interview. Being able to discuss specific examples of how you've done this in the past will impress the interviewers.
✨Show Off Your Programming Skills
Since strong programming skills in Python and SQL are essential for this role, be prepared to demonstrate your knowledge. You might be asked to solve a coding problem or explain your approach to a data analysis task. Practise common algorithms and data manipulation techniques beforehand to feel confident.
✨Understand Statistical Techniques
Brush up on advanced statistical and machine learning techniques that are relevant to the role. Be ready to discuss how you’ve applied these methods in previous projects or coursework. This shows that you not only know the theory but can also apply it practically.
✨Ask Insightful Questions
Prepare thoughtful questions about the firm’s approach to alternative data and how they collaborate with investment professionals. This demonstrates your genuine interest in the role and helps you assess if the company culture aligns with your values. Plus, it gives you a chance to engage in a meaningful conversation.