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- Tasks: Join a team to build and maintain data pipelines for systematic trading strategies.
- Company: Leading investment firm focused on data-driven decision making.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Why this job: Make an impact by transforming raw data into valuable insights for trading.
- Qualifications: Strong programming skills in Python and SQL; background in statistics or computer science.
- Other info: Fast-paced environment with collaboration across teams and exciting challenges.
The predicted salary is between 36000 - 60000 £ per year.
We’re hiring a Data Scientist to join a leading systematic investment firm’s data platform team. This role sits at the intersection of data engineering and quantitative research, helping deliver high-quality datasets and scalable infrastructure that power systematic trading strategies across global markets.
You will work closely with researchers and investment teams to:
- Onboard new datasets
- Build and maintain robust data pipelines
- Transform raw data into structured features used in predictive modelling
The role also involves collaborating with external data vendors, monitoring data quality, and developing automated checks and reporting to ensure reliability in a live trading environment.
Ideal candidates have strong programming skills in Python and SQL, a background in a quantitative field such as statistics, computer science, or financial engineering, and an interest in working with large datasets in a research-driven environment. Experience with tools such as AWS, Linux, or workflow orchestration systems is helpful but not required.
If you enjoy solving complex data problems and working closely with quantitative teams in a fast-paced environment, please apply.
Data Scientist employer: Bowden Brown
Contact Detail:
Bowden Brown Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with professionals on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data projects, especially those involving Python and SQL. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice common data science interview questions and be ready to discuss your past experiences with datasets and predictive modelling.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your programming skills in Python and SQL, as well as any relevant experience in quantitative fields. We want to see how your background aligns with the role, so don’t be shy about showcasing your achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about the Data Scientist position and how your skills can contribute to our data platform team. Keep it engaging and personal – we love to see your passion!
Showcase Relevant Projects: If you've worked on projects involving large datasets or predictive modelling, make sure to mention them! We’re interested in seeing how you’ve tackled complex data problems and what tools you used, so include specific examples.
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensures you’re considered for the role. Don’t miss out!
How to prepare for a job interview at Bowden Brown
✨Know Your Data
Make sure you brush up on your knowledge of data structures and pipelines. Be ready to discuss how you've transformed raw data into structured features in the past, as this will show your practical experience and understanding of the role.
✨Showcase Your Programming Skills
Since strong programming skills in Python and SQL are crucial, prepare to demonstrate your coding abilities. You might be asked to solve a problem on the spot, so practice common data manipulation tasks and be ready to explain your thought process.
✨Understand the Business Context
Familiarise yourself with systematic trading strategies and how data impacts decision-making in that context. This will help you articulate how your work can contribute to the firm's goals and show that you're not just a techie but also understand the bigger picture.
✨Prepare Questions for Them
Interviews are a two-way street! Prepare insightful questions about their data platform, team dynamics, or how they measure success in this role. This shows your genuine interest and helps you assess if the company is the right fit for you.