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- Tasks: Transform complex data into actionable insights for investment strategies.
- Company: Prestigious hedge fund with a global presence and innovative data team.
- Benefits: Competitive salary, market-leading bonuses, private healthcare, and wellness support.
- Other info: Dynamic work environment with opportunities for professional growth.
- Why this job: Join a top-tier team and shape the future of investment data management.
- Qualifications: 10 years experience in investment data analysis with strong Python and SQL skills.
The predicted salary is between 80000 - 100000 £ per year.
My client, a market-leading, global macro, multi-billion dollar AUM hedge fund, are looking to hire an experienced Investment Data Analyst to join their London office. The successful individual will join a highly regarded Data team responsible for the origination, governance and lifecycle management of the firm’s diverse data estate.
This person will act as a subject-matter expert across vendor data, working directly with the trading desk, investment quants and technology teams to transform complex, raw data into actionable insight that drives alpha generation. The role centres on deeply understanding and curating raw datasets from a broad range of external vendors, interrogating data endpoints using Python and SQL, and translating opaque, vendor-delivered content into robust, scalable solutions for front office users.
This individual will play a key role in onboarding new datasets, enhancing existing data platforms and helping to shape best-in-class data capabilities across the business.
The ideal candidate will have 10 years experience within a buy-side or data vendor environment, with demonstrable experience onboarding vendor datasets into live investment environments. Strong asset class knowledge – ideally across macro and/or multi-asset strategies – is highly desirable, alongside proficiency in Python and SQL.
My client are committed to offering highly competitive base salaries alongside market-leading bonuses. In addition, employees benefit from exceptional private healthcare, comprehensive wellness support including on-site gym facilities, and high-quality in-house catering provided daily.
Apply now following the link below or send your resume directly to harvey.gilbert@mondrian-alpha.com.
Locations
Senior Investment Data Analyst - Highly Prestigious Hedge Fund - London employer: Mondrian Alpha
Contact Detail:
Mondrian Alpha Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Investment Data Analyst - Highly Prestigious Hedge Fund - London
✨Tip Number 1
Network like a pro! Reach out to your connections in the finance and data analysis sectors. We all know that sometimes it’s not just what you know, but who you know. Attend industry events or webinars to meet potential employers and get your name out there.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your work with Python and SQL. We can’t stress enough how important it is to demonstrate your ability to transform complex data into actionable insights. A well-organised portfolio can really set you apart from the competition.
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of macro and multi-asset strategies. We want you to be able to discuss how your experience aligns with the role. Practice common interview questions and think about how you can showcase your expertise in vendor data onboarding.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. We’re here to help you land that dream job, so make sure you take advantage of all the resources we offer to support your job search.
We think you need these skills to ace Senior Investment Data Analyst - Highly Prestigious Hedge Fund - London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the role of Senior Investment Data Analyst. Highlight your experience with vendor datasets, Python, and SQL, and don’t forget to showcase your asset class knowledge. We want to see how your background aligns with what we’re looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re the perfect fit for our team. Share specific examples of how you've transformed raw data into actionable insights in previous roles. We love a good story that showcases your skills!
Showcase Your Technical Skills: Since this role involves a lot of technical work, make sure to highlight your proficiency in Python and SQL. If you have any projects or achievements that demonstrate these skills, include them! We’re keen to see how you can contribute to our data capabilities.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep everything organised and ensures your application gets the attention it deserves. Don’t miss out on this opportunity – we can’t wait to hear from you!
How to prepare for a job interview at Mondrian Alpha
✨Know Your Data Inside Out
Make sure you’re well-versed in the types of datasets you’ll be working with. Brush up on your knowledge of vendor data and how it impacts trading strategies. Being able to discuss specific examples of how you've transformed raw data into actionable insights will impress the interviewers.
✨Show Off Your Technical Skills
Since this role requires proficiency in Python and SQL, prepare to demonstrate your coding skills. You might be asked to solve a problem or explain how you would approach a data challenge. Practising common data manipulation tasks in both languages can give you a solid edge.
✨Understand the Business Context
Familiarise yourself with the hedge fund's investment strategies, especially in macro and multi-asset areas. This will help you connect your technical expertise to their business goals. Be ready to discuss how your previous experience aligns with their objectives and how you can contribute to alpha generation.
✨Prepare Thoughtful Questions
Interviews are a two-way street, so come prepared with insightful questions about the team, data governance practices, and future projects. This shows your genuine interest in the role and helps you assess if the company is the right fit for you.