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- Tasks: Transform complex financial data into actionable insights and collaborate with top-tier researchers.
- Company: Join a leading quantitative finance firm based in London, fostering innovation and exploration.
- Benefits: Competitive pay, generous leave, healthcare, and fun monthly events.
- Why this job: Make a real impact in finance while working with cutting-edge technology and talented teams.
- Qualifications: Strong academic background in quantitative fields and experience in data science.
- Other info: Enjoy a relaxed dress code and a great work/life balance.
The predicted salary is between 36000 - 60000 £ per year.
We tackle the most complex problems in quantitative finance, by bringing scientific clarity to financial complexity. From our London HQ, we unite world-class researchers and engineers in an environment that values deep exploration and methodical execution - because the best ideas take time to evolve. Together we’re building a world-class platform to amplify our teams’ most powerful ideas.
Data scientists at G-Research bring structure to the world's financial data, refining, transforming and combining varied and rich datasets to create superior representations of the outside world in our research platform. Collaborating closely with Quantitative Researchers and Engineers - and supported by a high-performance compute platform - you’ll analyse third-party datasets and apply your technical expertise and understanding of financial markets to integrate them effectively into our growing data estate.
Who are we looking for?
- Strong academic credentials, including a minimum 2:1 degree or equivalent, in a quantitative subject, such as mathematics, statistics, computer science, physics or engineering
- Demonstrable experience in a data science or data analysis role, with excellent performance over a number of years
- Good programming skills, preferably in Python
- The ability to apply foundational mathematical concepts, such as probability or statistics, to real world financial and data science problems
- Outstanding problem-solving ability and strong data visualisation skills
- The ability to collaborate well with others on projects
Why should you apply?
- Highly competitive compensation plus annual discretionary bonus
- Lunch provided (via Just Eat for Business) and dedicated barista bar
- 35 days’ annual leave
- 9% company pension contributions
- Informal dress code and excellent work/life balance
- Comprehensive healthcare and life assurance
- Monthly company events
Data Scientist in England employer: G-Research
Contact Detail:
G-Research Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist in England
✨Tip Number 1
Network like a pro! Reach out to current employees on LinkedIn or attend industry meetups. A friendly chat can open doors that applications alone can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data science projects. This gives you a chance to demonstrate your expertise and creativity beyond the CV.
✨Tip Number 3
Prepare for interviews by brushing up on your problem-solving skills. Practice coding challenges and be ready to discuss how you’ve tackled complex data issues in the past.
✨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 proactive about their job search.
We think you need these skills to ace Data Scientist in England
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your strong academic credentials and any relevant experience in data science or analysis. We want to see how your background aligns with the role, so don’t hold back on showcasing your programming skills, especially in Python!
Tailor Your Application: Take a moment to customise your application for us. Mention specific projects or experiences that demonstrate your problem-solving abilities and how you’ve applied mathematical concepts to real-world problems. This will help us see how you fit into our team.
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate well-structured applications that are easy to read. Use bullet points if necessary to make your key achievements stand out!
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, we love seeing candidates who take the initiative to connect with us directly.
How to prepare for a job interview at G-Research
✨Know Your Data
Before the interview, brush up on your understanding of data science concepts and financial markets. Be prepared to discuss how you’ve applied statistical methods or programming skills in past projects. This will show that you can bring real-world experience to the table.
✨Showcase Your Problem-Solving Skills
Prepare to tackle hypothetical problems during the interview. Think through your approach to solving complex data issues and be ready to explain your thought process clearly. This demonstrates your analytical mindset and ability to think on your feet.
✨Collaborate Like a Pro
Since collaboration is key in this role, think of examples where you’ve worked effectively with others. Highlight your communication skills and how you’ve contributed to team projects. This will help them see you as a team player who can thrive in their environment.
✨Ask Insightful Questions
At the end of the interview, don’t shy away from asking questions about the company’s data strategies or the tools they use. This shows your genuine interest in the role and helps you gauge if it’s the right fit for you.
