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- Tasks: Join us as a Data Scientist to analyse financial data and collaborate with top researchers.
- Company: G-Research is a leading tech firm in finance, known for innovation and talent development.
- Benefits: Enjoy competitive pay, 35 days off, free lunch, and a relaxed dress code.
- Why this job: Work in a dynamic culture that values ideas and diversity while tackling real-world financial challenges.
- Qualifications: You need a strong quantitative degree and experience in data science, plus Python skills.
- Other info: This role is based in our new Soho Place office, opened in 2023.
The predicted salary is between 43200 - 72000 £ per year.
Do you want to tackle the biggest questions in finance with near infinite compute power at your fingertips? G-Research is a leading quantitative research and technology firm, with offices in London and Dallas. We are proud to employ some of the best people in their field and to nurture their talent in a dynamic, flexible and highly stimulating culture where world-beating ideas are cultivated and rewarded.
This is a contract role based in our new Soho Place office - opened in 2023 - in the heart of Central London and home to our Research Lab.
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
- Cycle-to-work scheme
- Monthly company events
G-Research is committed to cultivating and preserving an inclusive work environment. We are an ideas-driven business and we place great value on diversity of experience and opinions. We want to ensure that applicants receive a recruitment experience that enables them to perform at their best. If you have a disability or special need that requires accommodation please let us know in the relevant section.
Data Scientist employer: G-Research
Contact Detail:
G-Research Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist
✨Tip Number 1
Familiarise yourself with the latest trends in quantitative finance and data science. Being able to discuss current methodologies or technologies during your interview can demonstrate your passion and knowledge in the field.
✨Tip Number 2
Brush up on your Python programming skills, especially libraries like Pandas, NumPy, and Matplotlib. Practical demonstrations of your coding abilities can set you apart from other candidates.
✨Tip Number 3
Prepare to showcase your problem-solving skills through real-world examples. Think of specific challenges you've faced in previous roles and how you approached them, particularly in data analysis or financial contexts.
✨Tip Number 4
Network with professionals in the finance and data science sectors. Engaging with industry events or online forums can provide insights into the company culture at G-Research and help you make valuable connections.
We think you need these skills to ace Data Scientist
Some tips for your application 🫡
Understand the Role: Before applying, make sure to thoroughly understand the responsibilities and requirements of the Data Scientist position at G-Research. Familiarise yourself with the skills they are looking for, such as programming in Python and experience in data analysis.
Tailor Your CV: Customise your CV to highlight relevant experience and skills that align with the job description. Emphasise your academic credentials, programming skills, and any specific projects or roles that demonstrate your problem-solving abilities and data visualisation skills.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for finance and data science. Explain why you want to work at G-Research and how your background makes you a suitable candidate. Be sure to mention your collaborative skills and how you can contribute to their team.
Proofread Your Application: Before submitting your application, carefully proofread all documents for spelling and grammatical errors. A polished application reflects attention to detail, which is crucial in a data-driven role like this one.
How to prepare for a job interview at G-Research
✨Showcase Your Technical Skills
Be prepared to discuss your programming skills, especially in Python. You might be asked to solve a coding problem or explain your previous projects, so brush up on relevant data science techniques and frameworks.
✨Demonstrate Problem-Solving Abilities
Expect questions that assess your analytical thinking and problem-solving skills. Prepare examples from your past experiences where you tackled complex data challenges, particularly in financial contexts.
✨Understand Financial Concepts
Since the role involves integrating financial datasets, make sure you have a solid grasp of foundational mathematical concepts like probability and statistics. Be ready to discuss how these concepts apply to real-world financial problems.
✨Emphasise Collaboration Skills
G-Research values teamwork, so highlight your experience working with others on projects. Share specific examples of how you collaborated with quantitative researchers or engineers to achieve successful outcomes.
