Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead a data analytics team and drive innovative projects in a dynamic environment.
- Company: Join a top-tier systematic hedge fund known for its cutting-edge approach to data.
- Benefits: Enjoy a meritocratic culture with opportunities for professional growth and development.
- Why this job: Be at the forefront of data innovation, making a real impact in finance.
- Qualifications: 7+ years in data roles, team management, and strong coding skills in Python.
- Other info: Ideal for those passionate about finance and technology in a collaborative setting.
The predicted salary is between 48000 - 72000 £ per year.
A leading systematic hedge fund is looking to revamp their data analytics team and bring on board a team lead who can take the existing team in a new, more technical direction. You will be working on greenfield projects within a small, meritocratic environment in a highly visible role within the organisation.
Requirements:
- 7+ years experience in data related positions.
- Experience managing a team and working with stakeholders across the business.
- Significant experience in buy-side role, working alongside research team on trading data, ideally in a systematic setting.
- Understanding of financial markets and products.
- Coding experience in Python and databases.
Data Team Lead employer: Radley James
Contact Detail:
Radley James Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Team Lead
✨Tip Number 1
Network with professionals in the hedge fund and data analytics sectors. Attend industry conferences or meetups to connect with potential colleagues and decision-makers who might influence the hiring process.
✨Tip Number 2
Showcase your leadership skills by discussing past experiences where you successfully managed a team or led projects. Be prepared to share specific examples of how you guided your team through challenges and achieved results.
✨Tip Number 3
Familiarise yourself with the latest trends in data analytics and systematic trading. Being knowledgeable about current technologies and methodologies will demonstrate your commitment to staying ahead in the field.
✨Tip Number 4
Prepare to discuss your coding experience in Python and database management during interviews. Be ready to explain how you've applied these skills in previous roles, particularly in relation to trading data and financial markets.
We think you need these skills to ace Data Team Lead
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your 7+ years of experience in data-related positions. Emphasise your management experience and any specific projects where you've worked with stakeholders, particularly in a buy-side role.
Showcase Technical Skills: Include specific examples of your coding experience in Python and your familiarity with databases. Mention any relevant projects that demonstrate your technical capabilities, especially those related to trading data.
Highlight Financial Knowledge: Demonstrate your understanding of financial markets and products in your application. You could include a brief section on how your knowledge has contributed to past projects or decision-making processes.
Craft a Compelling Cover Letter: Write a cover letter that outlines your vision for leading the data analytics team. Discuss how you plan to take the team in a more technical direction and your approach to managing a meritocratic environment.
How to prepare for a job interview at Radley James
✨Showcase Your Leadership Skills
As a Data Team Lead, you'll need to demonstrate your ability to manage and inspire a team. Prepare examples of how you've successfully led teams in the past, focusing on your approach to mentoring and developing talent.
✨Highlight Technical Expertise
Given the technical direction of the role, be ready to discuss your coding experience in Python and your familiarity with databases. Consider preparing a brief overview of relevant projects where you applied these skills, especially in a buy-side context.
✨Understand the Financial Landscape
Since the role involves working closely with trading data, it's crucial to have a solid understanding of financial markets and products. Brush up on key concepts and be prepared to discuss how your knowledge can benefit the team and the organisation.
✨Prepare for Stakeholder Interaction
You'll be working with various stakeholders across the business, so it's important to demonstrate your communication skills. Think of instances where you've effectively collaborated with different teams and how you navigated any challenges that arose.
