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- Tasks: Partner with equity PMs to leverage data science for fundamental research and insights.
- Company: Join a leading multi-strategy fund in the heart of Greater London.
- Benefits: Competitive salary, dynamic work environment, and opportunities for professional growth.
- Other info: Fast-paced investment environment with excellent career advancement potential.
- Why this job: Make a real impact in equity analysis using cutting-edge data science techniques.
- Qualifications: Bachelor's degree in a quantitative field and strong skills in Python and SQL.
The predicted salary is between 60000 - 80000 £ per year.
Selby Jennings is seeking a candidate to partner with equity PMs and analysts to leverage data science techniques for equity fundamental research. Responsibilities include generating insights, evaluating new datasets, and developing analytical tools.
The ideal candidate has a bachelor's degree in a quantitative field, strong programming skills in Python and SQL, and the ability to thrive in a fast-paced investment environment. Join us in Greater London for a meaningful role in equity analysis.
Equity Data Scientist - Multi-Strategy Fund employer: Selby Jennings
Contact Detail:
Selby Jennings Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Equity Data Scientist - Multi-Strategy Fund
✨Tip Number 1
Network like a pro! Reach out to equity PMs and analysts on LinkedIn or at industry events. Building connections can give you insider info about job openings and help you stand out.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data science projects, especially those using Python and SQL. This will demonstrate your capabilities and make you memorable to hiring managers.
✨Tip Number 3
Prepare for interviews by brushing up on your analytical tools and techniques. Be ready to discuss how you've generated insights from datasets in the past – real examples will impress!
✨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 Equity Data Scientist - Multi-Strategy Fund
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your programming skills in Python and SQL right from the get-go. We want to see how you can leverage these skills for equity fundamental research, so don’t hold back!
Tailor Your Application: Customise your CV and cover letter to reflect the specific responsibilities mentioned in the job description. We love seeing candidates who take the time to connect their experiences with what we’re looking for.
Be Data-Driven: Since this role is all about generating insights and evaluating datasets, include examples of how you've used data science techniques in your previous work. Show us your analytical prowess!
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’re considered for this exciting opportunity in Greater London!
How to prepare for a job interview at Selby Jennings
✨Know Your Data Science Stuff
Make sure you brush up on your data science techniques, especially those relevant to equity fundamental research. Be ready to discuss how you've used Python and SQL in past projects, as this will show your technical prowess and ability to generate insights.
✨Understand the Investment Landscape
Familiarise yourself with the current trends in the investment world, particularly in equity markets. Being able to discuss recent developments or datasets that could impact equity analysis will demonstrate your passion and knowledge about the field.
✨Prepare for Scenario Questions
Expect questions that ask you to evaluate new datasets or develop analytical tools on the spot. Practise articulating your thought process clearly, as this will showcase your problem-solving skills and ability to thrive in a fast-paced environment.
✨Show Your Collaborative Spirit
Since the role involves partnering with equity PMs and analysts, be prepared to discuss examples of how you've successfully collaborated in the past. Highlighting your teamwork skills will reassure them that you can integrate well into their dynamic team.