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- Tasks: Refine financial data and enhance research capabilities using Python.
- Company: Leading quantitative research firm in vibrant Soho, London.
- Benefits: Competitive pay, 35 days annual leave, and comprehensive healthcare.
- Why this job: Join a collaborative team and make an impact in finance and quant research.
- Qualifications: Strong academic background and experience in data science with Python skills.
- Other info: Innovative work environment with great opportunities for growth.
The predicted salary is between 36000 - 60000 £ per year.
A leading quantitative research firm in London seeks a Data Scientist to enhance our research capabilities by refining financial data. The ideal candidate will have strong academic credentials, significant experience in data science, and good programming skills in Python.
This role offers competitive compensation, 35 days annual leave, and various employee benefits including comprehensive healthcare. The role is based in our new office in Soho, London, fostering a collaborative and innovative work environment.
Data Scientist (Python) – Finance & Quant Research employer: G-Research
Contact Detail:
G-Research Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist (Python) – Finance & Quant Research
✨Tip Number 1
Network like a pro! Reach out to professionals in the finance and data science sectors on LinkedIn. Join relevant groups and engage in discussions to get your name out there.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python projects, especially those related to finance and quantitative research. This will give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on common data science questions and case studies. Practice explaining your thought process clearly, as communication is key in collaborative environments.
✨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 take that extra step to connect with us directly.
We think you need these skills to ace Data Scientist (Python) – Finance & Quant Research
Some tips for your application 🫡
Show Off Your Python Skills: Make sure to highlight your programming prowess in Python. We want to see how you've used it in past projects, especially in finance or quantitative research. Don't hold back on the details!
Tailor Your CV and Cover Letter: Customise your CV and cover letter to reflect the specific requirements of the Data Scientist role. Use keywords from the job description to show us you’re a perfect fit for our team.
Highlight Your Academic Credentials: Since we value strong academic backgrounds, be sure to mention your qualifications clearly. If you’ve got any relevant certifications or courses, throw those in too!
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 from our team.
How to prepare for a job interview at G-Research
✨Know Your Python Inside Out
Make sure you brush up on your Python skills before the interview. Be ready to discuss specific libraries and frameworks you've used in your projects, especially those relevant to data science and finance. Practising coding challenges can also help you demonstrate your problem-solving abilities.
✨Showcase Your Data Science Projects
Prepare to talk about your previous data science projects, particularly those that involved financial data. Highlight your role, the tools you used, and the impact of your work. This will show the interviewers that you have practical experience and can apply your skills effectively.
✨Understand the Company’s Research Focus
Do some homework on the firm’s research capabilities and recent projects. Being able to discuss how your skills align with their goals will impress the interviewers. It shows that you’re genuinely interested in the role and understand the industry landscape.
✨Prepare Thoughtful Questions
At the end of the interview, you’ll likely be asked if you have any questions. Prepare insightful questions about the team dynamics, the company culture, or specific projects they’re working on. This not only demonstrates your enthusiasm but also helps you gauge if the company is the right fit for you.
