People Data Analyst - Systematic Hedge Fund in London

People Data Analyst - Systematic Hedge Fund in London

London Full-Time 50000 - 70000 £ / year (est.) No working from home possible
Paragon Alpha - Hedge Fund Talent Business

At a Glance

  • Tasks: Transform data into actionable insights and build analytical tools for senior stakeholders.
  • Company: Join a leading quantitative hedge fund with a tech-driven culture.
  • Benefits: Gain exposure to diverse data functions and enhance your analytics skills.
  • Other info: Dynamic role with opportunities for professional growth and learning.
  • Why this job: Make a real impact in a collaborative environment while developing new analytics capabilities.
  • Qualifications: Experience in Data Science or Analytics, strong Python skills, and dashboard building.

The predicted salary is between 50000 - 70000 £ per year.

Paragon Alpha is partnering with a leading quantitative hedge fund seeking to hire a Business Data Analyst to join its growing Business Data & Analytics team. The role offers strong exposure across data, analytics, and business functions, working closely with cross-functional teams to transform internal and external data into actionable insights for senior stakeholders.

Responsibilities will include:

  • Building analytical tools and dashboards
  • Conducting advanced data analysis
  • Managing the end-to-end analytics lifecycle
  • Helping drive the development of new analytics capabilities across the business

The ideal candidate will have experience within Data Science, Analytics, or a related technical field, alongside strong Python and data analysis skills, and experience building analytical tools or dashboards. This is an excellent opportunity to join a highly collaborative, technology-driven hedge fund environment with broad exposure across data, business, and analytics functions.

Please apply if interested in learning more.

People Data Analyst - Systematic Hedge Fund in London employer: Paragon Alpha - Hedge Fund Talent Business

Paragon Alpha is an exceptional employer, offering a dynamic and collaborative work environment within a leading quantitative hedge fund. Employees benefit from strong professional development opportunities, access to cutting-edge technology, and the chance to work closely with cross-functional teams, driving impactful data-driven decisions. Located in a vibrant financial hub, the company fosters a culture of innovation and continuous learning, making it an ideal place for those seeking meaningful and rewarding careers in data analytics.

Paragon Alpha - Hedge Fund Talent Business

Contact Details:

Paragon Alpha - Hedge Fund Talent Business Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land People Data Analyst - Systematic Hedge Fund in London

Tip Number 1

Network like a pro! Reach out to people in the industry, especially those working at hedge funds or in data analytics. A friendly chat can lead to insider info about job openings and even referrals.

Tip Number 2

Show off your skills! Create a portfolio showcasing your analytical tools and dashboards. This is your chance to demonstrate your Python prowess and data analysis skills in a way that grabs attention.

Tip Number 3

Prepare for interviews by brushing up on common data analysis scenarios. Be ready to discuss how you've transformed data into actionable insights in past roles. Practice makes perfect!

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 take the initiative to connect with us directly.

We think you need these skills to ace People Data Analyst - Systematic Hedge Fund in London

Data Analysis
Python
Analytical Tools Development
Dashboard Creation
End-to-End Analytics Lifecycle Management
Collaboration Skills
Data Science

Some tips for your application 🫡

Tailor Your CV:Make sure your CV reflects the skills and experiences that match the job description. Highlight your Python and data analysis skills, and any experience with building analytical tools or dashboards. We want to see how you can bring value to our team!

Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about data analytics and how your background aligns with the role. Don’t forget to mention your collaborative spirit, as we love working together at StudySmarter.

Showcase Relevant Projects:If you've worked on any projects that demonstrate your analytical skills or experience with data science, make sure to include them. We’re keen to see how you’ve transformed data into actionable insights in the past!

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 don’t miss out on any important updates. We can’t wait to hear from you!

How to prepare for a job interview at Paragon Alpha - Hedge Fund Talent Business

Know Your Data Tools

Make sure you brush up on your Python skills and any analytical tools you've used in the past. Be ready to discuss specific projects where you've built dashboards or conducted advanced data analysis, as this will show your hands-on experience.

Understand the Business Context

Familiarise yourself with the hedge fund industry and how data analytics plays a role in decision-making. Being able to connect your technical skills to business outcomes will impress the interviewers and demonstrate your understanding of their needs.

Prepare for Technical Questions

Expect some technical questions related to data analysis and analytics lifecycle management. Practise explaining your thought process clearly and concisely, as this will showcase your analytical mindset and problem-solving abilities.

Showcase Collaboration Skills

Since the role involves working closely with cross-functional teams, be prepared to share examples of how you've successfully collaborated with others in previous roles. Highlighting your teamwork skills will show that you're a good fit for their highly collaborative environment.