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- Tasks: Join a team to build data pipelines and transform raw data for predictive modelling.
- Company: Leading systematic investment firm with a focus on data-driven strategies.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Why this job: Make an impact in finance by solving complex data challenges with cutting-edge technology.
- Qualifications: Strong programming skills in Python and SQL; background in statistics or computer science.
- Other info: Fast-paced environment with collaboration across teams and potential for career advancement.
The predicted salary is between 30000 - 50000 £ 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, and 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 in City of London employer: Bowden Brown
Contact Detail:
Bowden Brown Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist in City of London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with professionals on LinkedIn. We can’t stress enough how valuable personal connections can be in landing that Data Scientist role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python, SQL, or data pipelines. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for technical interviews by brushing up on your programming skills and understanding data structures. We recommend practicing coding challenges and discussing your thought process out loud to impress interviewers.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Data Scientist in City of London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your programming skills in Python and SQL, as well as any experience in quantitative fields. We want to see how your background aligns with the role, so don’t be shy about showcasing relevant projects or experiences!
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 role and how your skills can contribute to our data platform team. Be specific about your interest in systematic trading and working with large datasets.
Showcase Your Problem-Solving Skills: In your application, highlight examples where you've tackled complex data problems. We love candidates who can demonstrate their analytical thinking and creativity in overcoming challenges, especially in a fast-paced environment.
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 the role. Plus, it shows you’re keen on joining our team!
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 types. Be prepared to discuss how you’ve worked with large datasets in the past, especially in a research-driven environment. Highlight any experience you have with data cleaning and transformation, as this will be crucial for the role.
✨Showcase Your Programming Skills
Since strong programming skills in Python and SQL are essential, be ready to demonstrate your coding abilities. You might be asked to solve a problem on the spot, so practice common data manipulation tasks and algorithms beforehand. Don’t forget to mention any projects where you’ve used these languages effectively.
✨Understand the Business Context
Familiarise yourself with systematic trading strategies and how data plays a role in them. Being able to articulate how your work as a Data Scientist can impact trading decisions will show that you understand the bigger picture and are genuinely interested in the firm’s goals.
✨Prepare Questions for Them
Interviews are a two-way street, so come prepared with insightful questions about the team, the data platform, and the challenges they face. This not only shows your enthusiasm but also helps you gauge if the company is the right fit for you. Ask about their current data quality checks or how they collaborate with external vendors.