Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead a team of Data Analysts while driving data strategy and quality.
- Company: Join a top quantitative hedge fund in the heart of London.
- Benefits: Enjoy a dynamic work environment with opportunities for mentorship and career growth.
- Why this job: Be part of a fast-paced, research-driven culture that values innovation and excellence.
- Qualifications: 5+ years as a Data Analyst with strong Python and SQL skills required.
- Other info: Experience in systematic hedge funds is a plus; coaching experience is essential.
The predicted salary is between 43200 - 72000 £ per year.
A leading quantitative hedge fund in London is seeking a hands-on Python Data Analyst Team Lead to manage and expand its data analytics function. This is a key role for a technically strong individual who enjoys coding, mentoring, and driving data strategy in a fast-paced, research-driven trading environment.
Role Overview:
They are looking for a hands-on Team Lead to be part of their Data Analyst group supporting its quantitative researchers with clean, structured and scalable data. The Data Analyst team is responsible for sourcing and evaluating new data sets, onboarding them and monitoring quality and usage, ensuring reliability across the stack. This data forms the foundation for alpha research and signal generation in its systematic trading strategies.
Key Responsibilities:
- Play a hands-on role while also leading and supporting a team of Data Analysts, providing coaching, career development and technical mentorship.
- Drive high-quality data delivery, operational excellence and continuous innovation across our data ecosystem.
- Strive to understand data needs to shape and execute strategic initiatives that accelerate research and signal development.
- Oversee and prioritise team projects from concept through to delivery, ensuring timelines and quality standards are met.
Required Skills & Experience:
- 5+ years' experience as a Data Analyst
- Strong skills in Python, SQL and tools like dbt, Snowflake, AWS S3 and SQL Server.
- Solid understanding of financial instruments such as Equities, Futures, Forwards, CDS, IRS and ETFs with deep knowledge in at least one asset class.
- Familiarity with market data licensing and vendor relationships.
- Leading or coaching a technical team.
- Experience in a data team within a systematic hedge fund or similar environment is highly valued.
Lead Data Analyst employer: Radley James
Contact Detail:
Radley James Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Analyst
✨Tip Number 1
Familiarise yourself with the specific tools mentioned in the job description, such as Python, SQL, dbt, and Snowflake. Having hands-on experience with these technologies will not only boost your confidence but also demonstrate your technical capabilities during interviews.
✨Tip Number 2
Showcase your leadership skills by preparing examples of how you've successfully mentored or led a team in the past. Be ready to discuss your approach to coaching and developing talent, as this is a key aspect of the role.
✨Tip Number 3
Research the hedge fund industry and understand the specific financial instruments mentioned in the job description. Being able to speak knowledgeably about Equities, Futures, and other asset classes will set you apart from other candidates.
✨Tip Number 4
Network with professionals in the quantitative finance space, especially those who work in data analytics roles. Engaging with industry peers can provide valuable insights and potentially lead to referrals that could enhance your application.
We think you need these skills to ace Lead Data Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience as a Data Analyst, particularly focusing on your skills in Python, SQL, and any relevant tools like dbt or Snowflake. Emphasise your leadership experience and any mentoring roles you've had.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data analytics and your understanding of the financial instruments mentioned in the job description. Discuss how your background aligns with the company's needs and your vision for driving data strategy.
Showcase Relevant Projects: Include specific examples of projects where you have successfully managed data delivery or led a team. Highlight any innovative solutions you implemented that improved data quality or operational excellence.
Highlight Your Mentoring Skills: Since the role involves coaching and mentoring, be sure to mention any experience you have in developing others' skills. Provide examples of how you've supported team members in their career development.
How to prepare for a job interview at Radley James
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Python, SQL, and any relevant tools like dbt or Snowflake. You might be asked to solve a technical problem on the spot, so brush up on your coding skills and be ready to demonstrate your expertise.
✨Understand the Financial Landscape
Since the role involves working with financial instruments, make sure you have a solid understanding of equities, futures, and other asset classes mentioned in the job description. Being able to speak knowledgeably about these topics will impress your interviewers.
✨Emphasise Leadership Experience
As a Team Lead, your ability to mentor and guide others is crucial. Prepare examples of how you've successfully led a team, provided coaching, or driven projects from concept to delivery. Highlight your leadership style and how it aligns with their needs.
✨Demonstrate Problem-Solving Skills
In a fast-paced trading environment, quick thinking and effective problem-solving are key. Be ready to discuss past challenges you've faced in data analytics and how you overcame them. This will show your potential employer that you can thrive under pressure.
