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For Companies At a Glance
- Tasks: Analyse complex datasets and build tools to support investment decisions.
- Company: Dynamic asset manager in London with a focus on equity investments.
- Benefits: Gain hands-on experience, work with experts, and develop your analytical skills.
- Why this job: Join a team where your insights directly influence investment strategies.
- Qualifications: Background in maths, statistics, or computer science; coding skills in Python or R.
- Other info: Opportunity to work with unstructured data and enhance your data visualisation skills.
The predicted salary is between 36000 - 60000 £ per year.
We’re working with a London-based asset manager that is hiring a Data Analyst for its equity investment team. You’ll work with portfolio managers and researchers to analyse complex and unstructured datasets, including consumer and behavioural data, and present findings that help inform investment decisions. You’ll also build tools and visualisations that make data easier to use across the team.
Responsibilities
- Work with alternative and behavioural datasets related to listed equities
- Build clear, practical dashboards and internal tools
- Clean and organise unstructured data to produce usable insights
- Work with both quantitative and fundamental investment teams
- Help develop and maintain the team’s data infrastructure and analytics tools
Requirements
- Academic background in a quantitative subject (e.g., maths, statistics, computer science)
- Practical experience coding in Python or R
- Experience working with unstructured or alternative datasets
- Interest in public markets and how investment decisions are made
- Able to explain findings clearly to colleagues who aren’t technical
- Useful but not essential: Experience with visualisation tools (e.g., Tableau, Power BI, Plotly)
To apply, please send your CV to quantresearch@octaviusfinance.com
Investment Data Analyst – Equities | Asset Manager | London employer: Octavius Finance
Contact Detail:
Octavius Finance Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Investment Data Analyst – Equities | Asset Manager | London
✨Tip Number 1
Network like a pro! Reach out to folks in the investment and data analysis space on LinkedIn. A friendly message can go a long way, and who knows, they might just point you towards your dream job!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your work with unstructured datasets or any cool dashboards you've built. This is your chance to shine and demonstrate how you can add value to the team.
✨Tip Number 3
Prepare for those interviews! Brush up on your Python or R skills and be ready to discuss how you've tackled complex data problems in the past. Practice explaining your findings in simple terms – it’ll impress those non-technical interviewers!
✨Tip Number 4
Don’t forget to apply through our website! We’re all about making connections and helping you land that Investment Data Analyst role. Your next big opportunity could be just a click away!
We think you need these skills to ace Investment Data Analyst – Equities | Asset Manager | London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with unstructured datasets and coding in Python or R. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about equity investments and how your background makes you a great fit for the team. Keep it concise but impactful!
Showcase Your Analytical Skills: In your application, give examples of how you've cleaned and organised data in the past. We love seeing practical applications of your skills, especially if you can relate them to investment decisions.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss any important updates from us!
How to prepare for a job interview at Octavius Finance
✨Know Your Data Inside Out
Make sure you’re familiar with the types of datasets mentioned in the job description, especially alternative and behavioural data. Brush up on how these datasets can influence investment decisions, as this will show your understanding of the role and impress your interviewers.
✨Show Off Your Coding Skills
Since practical experience in Python or R is a must, be prepared to discuss your coding projects. Bring examples of how you've used these languages to clean data or build tools. If you have any visualisation projects, even better—show them off!
✨Communicate Like a Pro
You’ll need to explain complex findings to non-technical colleagues, so practice simplifying your explanations. Use clear, straightforward language and think about how you can make your insights relatable. This will demonstrate your ability to bridge the gap between data and decision-making.
✨Prepare Questions About the Team
Show your interest in the role by preparing thoughtful questions about the equity investment team and their data infrastructure. Ask about the tools they currently use and how they envision the role evolving. This not only shows your enthusiasm but also helps you gauge if it’s the right fit for you.
