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- Tasks: Bring structure to financial data and collaborate with Quantitative Researchers.
- Company: Leading quantitative research firm in London with a focus on innovation.
- Benefits: Highly competitive compensation, comprehensive healthcare, and excellent work/life balance.
- Why this job: Contribute to cutting-edge research in finance at a vibrant Soho Place office.
- Qualifications: Strong academic background in quantitative subjects and programming skills in Python.
- Other info: Dynamic environment with opportunities for impactful contributions.
The predicted salary is between 43200 - 72000 £ per year.
A leading quantitative research firm in London is seeking a Data Scientist to bring structure to financial data and collaborate with Quantitative Researchers. The ideal candidate will have a strong academic background in quantitative subjects, programming skills in Python, and experience in data analysis.
This position offers highly competitive compensation, comprehensive healthcare, and an excellent work/life balance. Join us at our new Soho Place office and contribute to cutting-edge research in finance.
Finance Data Scientist — High-Impact Analytics in Quant Lab in London employer: G-Research
Contact Detail:
G-Research Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Finance Data Scientist — High-Impact Analytics in Quant Lab in London
✨Tip Number 1
Network like a pro! Reach out to professionals in the finance and data science fields on LinkedIn. A friendly message can go a long way, and you never know who might have the inside scoop on job openings.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data analysis projects, especially those using Python. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your quantitative knowledge and programming skills. Practice common data science interview questions and be ready to discuss your past experiences in detail.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are genuinely interested in joining our team.
We think you need these skills to ace Finance Data Scientist — High-Impact Analytics in Quant Lab in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your programming skills in Python and any relevant experience in data analysis. We want to see how you can bring structure to financial data, so don’t hold back!
Tailor Your Application: Customise your CV and cover letter to reflect the job description. Mention your strong academic background in quantitative subjects and how it aligns with our needs at StudySmarter.
Be Clear and Concise: Keep your application straightforward and to the point. We appreciate clarity, so make sure your achievements and experiences are easy to read and understand.
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 our new Soho Place office!
How to prepare for a job interview at G-Research
✨Know Your Numbers
Brush up on your quantitative skills and be ready to discuss specific financial data analysis techniques. Make sure you can explain how you've used Python in past projects, as this will show your technical prowess.
✨Research the Firm
Dive deep into the firm's recent projects and publications. Understanding their approach to quantitative research will help you tailor your answers and demonstrate genuine interest in their work.
✨Prepare for Technical Questions
Expect questions that test your programming and analytical skills. Practise coding challenges in Python and be prepared to walk through your thought process during the interview.
✨Showcase Collaboration Skills
Since the role involves working closely with Quantitative Researchers, be ready to share examples of successful teamwork. Highlight how you’ve collaborated on projects and contributed to achieving common goals.
