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For Companies At a Glance
- Tasks: Transform raw data into insights and collaborate with tech teams.
- Company: Join a leading Hedge Fund managing over $17 billion.
- Benefits: Earn up to £180k, enjoy bonuses, private healthcare, and family-friendly perks.
- Why this job: Work on complex systems in a dynamic environment with a focus on learning and growth.
- Qualifications: Top-tier STEM degree, strong SQL/Python skills, and buyside experience required.
- Other info: Full-time office role in vibrant Soho, London with great facilities.
The predicted salary is between 108000 - 252000 £ per year.
Investment Data Analyst (SQL) London onsite to £180k
Are you a tech savvy Investment Data Analyst with experience of working across several asset classes and a strong understanding of financial markets?
You could be progressing your career working on complex and challenging systems at a Hedge Fund with over $17 billion under management.
As an Investment Data Analyst you will join a small team responsible for understanding, managing and transforming raw data content from various 3rd parties for the trading team, investment quants and investment desk.
Typical responsibilities will include:
- Combining and transforming raw data into useful insights, analysis and visualisations.
- Interrogating various vendor data endpoints to source and analyse data.
- Ensuring data consistency, completeness and accuracy across all platforms.
- Developing data dictionaries and other documentation.
- Collaborating with technology teams to implement and enhance data systems and processes.
- Keeping up to date with industry trends and emerging technology in data content and tooling.
Location / WFH:
You’ll join the team in fantastic London (Soho) based offices that offer a wide range of facilities including nutritionally balanced breakfast, lunch and all day snacks. Please note this role is full-time office based (Monday to Friday).
About you:
- You have an outstanding record of academic achievement – minimum 2.1 in a STEM discipline from a top tier university (i.e. Russel Group or top 100 global university), backed by A grades at A-level.
- You have strong technical skills with SQL and Python and have experience with version control and contributing to a shared codebase.
- You have buyside experience working across multiple asset classes e.g. Fixed Income, Commodities.
- You have a strong knowledge of data management principles and best practices.
- You have experience with data analysis, visualisation tools and techniques.
- You’re able to convey complex data and technical information to front office traders.
- You have a strong understanding of financial markets and investment management, ideally holding a CFA or CQF certification.
What’s in it for you:
As an Investment Data Analyst (SQL) you will earn a competitive package:
- Salary to £180k.
- Significant bonus earning potential.
- Fund performance share.
- Personal training budget and mentoring.
- Family friendly benefits that include unlimited emergency backup childcare as well as care for elderly relatives.
- Various social groups including sports teams.
- Private healthcare and wellness activities.
Apply now to find out more about this Investment Data Analyst (SQL) opportunity.
At Client Server we believe in a diverse workplace that allows people to play to their strengths and continually learn. We’re an equal opportunities employer whose people come from all walks of life and will never discriminate based on race, colour, religion, sex, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. The clients we work with share our values.
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Investment Data Analyst SQL - Hedge Fund employer: Fab Lab ABQ
Contact Detail:
Fab Lab ABQ Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Investment Data Analyst SQL - Hedge Fund
✨Tip Number 1
Make sure to showcase your technical skills in SQL and Python during the interview. Be prepared to discuss specific projects where you've used these languages to analyze data or improve processes.
✨Tip Number 2
Familiarize yourself with the latest trends in financial markets and data management principles. This knowledge will help you engage in meaningful conversations with the team and demonstrate your passion for the industry.
✨Tip Number 3
Highlight any experience you have with data visualization tools. Being able to present complex data in an understandable way is crucial for this role, so be ready to share examples of your work.
✨Tip Number 4
If you hold a CFA or CQF certification, make sure to mention it. This can set you apart from other candidates and shows your commitment to understanding investment management.
We think you need these skills to ace Investment Data Analyst SQL - Hedge Fund
Some tips for your application 🫡
Highlight Relevant Experience: Make sure to emphasize your experience with SQL, Python, and data analysis in your CV and cover letter. Mention specific projects or roles where you transformed raw data into insights, as this aligns closely with the job responsibilities.
Showcase Academic Achievements: Since the role requires a strong academic background, clearly state your degree, university, and any relevant certifications like CFA or CQF. Highlight your A-level grades to demonstrate your academic excellence.
Demonstrate Financial Market Knowledge: In your application, convey your understanding of financial markets and investment management. Use examples from your past experiences to illustrate how you've applied this knowledge in real-world scenarios.
Tailor Your Application: Customize your CV and cover letter for this specific role. Use keywords from the job description, such as 'data consistency', 'vendor data endpoints', and 'collaborating with technology teams' to ensure your application resonates with the hiring team.
How to prepare for a job interview at Fab Lab ABQ
✨Showcase Your Technical Skills
Be prepared to discuss your experience with SQL and Python in detail. Highlight specific projects where you utilized these skills, especially in data analysis and visualization. This will demonstrate your technical proficiency and relevance to the role.
✨Understand Financial Markets
Brush up on your knowledge of financial markets and investment management principles. Be ready to discuss how your understanding of various asset classes, such as Fixed Income and Commodities, can contribute to the team's success.
✨Communicate Complex Data Clearly
Practice explaining complex data concepts in simple terms. Since you'll be conveying information to front office traders, being able to articulate your insights clearly is crucial. Consider using examples from your past experiences.
✨Demonstrate Collaboration Skills
Prepare to discuss instances where you've collaborated with technology teams or contributed to a shared codebase. Emphasizing your teamwork and communication skills will show that you're a good fit for their small team environment.
