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- Tasks: Support equity investment teams by analysing complex datasets and creating insightful dashboards.
- Company: Join a leading asset manager in London known for its innovative approach to investments.
- Benefits: Enjoy continuous learning opportunities, professional development, and a collaborative work culture.
- Why this job: Make a real impact while working on exciting projects in a dynamic environment.
- Qualifications: Strong background in maths, statistics, or computer science; coding experience in Python or R required.
- Other info: Opportunity to contribute to philanthropic initiatives and enhance your data skills.
The predicted salary is between 36000 - 60000 £ per year.
Job Description
We’re partnering with a top-tier asset manager based in London, currently seeking a Data Analyst to support their equity investment team. This is a fantastic opportunity for someone who combines strong technical skills with a passion for markets and investing.
In this role, you’ll work closely with portfolio managers and researchers, uncovering insights from complex and unstructured datasets – including consumer trends and behavioural data – to help shape investment decisions. You'll also help build the tools and visualisations that bring data to life for the broader team
What You’ll Be Doing:
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- Exploring alternative and behavioural datasets related to listed equities
- Creating intuitive dashboards and internal tools for investment teams
- Turning messy or unstructured data into actionable investment insights
- Collaborating across teams including quants and fundamental PMs
- Contributing to the build-out of the team’s data infrastructure and analytics stack
What We’re Looking For:
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- A strong academic background in a quantitative field (maths, statistics, computer science, etc.)
- Hands-on experience coding in Python or R
- Exposure to working with unstructured or alternative datasets
- Interest in public markets and investment strategy
- Strong communication skills – you can explain data-driven insights to non-technical stakeholders
- Bonus: Familiarity with data visualisation tools (e.g. Tableau, Power BI, Plotly)
Why This Role?
-
- Be part of a collaborative, intellectually curious culture
- Take real ownership of your projects from day one
- Access to continuous learning and professional development
- Make a broader impact through philanthropic initiatives and purpose-led work
To apply, please send your CV to
quant@octaviusfinance.com
Data Analyst - Equity Investments | Leading Asset Manager | London - eFinancialCareers employer: eFinancialCareers
Contact Detail:
eFinancialCareers Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst - Equity Investments | Leading Asset Manager | London - eFinancialCareers
✨Tip Number 1
Familiarise yourself with the latest trends in equity investments and alternative datasets. This will not only help you understand the role better but also allow you to engage in meaningful conversations during interviews.
✨Tip Number 2
Brush up on your Python or R skills, especially focusing on data manipulation and analysis. Being able to demonstrate your coding abilities through practical examples can set you apart from other candidates.
✨Tip Number 3
Network with professionals in the asset management industry. Attend relevant meetups or webinars to connect with people who can provide insights into the company culture and expectations for the Data Analyst role.
✨Tip Number 4
Prepare to discuss how you've turned unstructured data into actionable insights in past projects. Be ready to share specific examples that highlight your problem-solving skills and ability to communicate complex data to non-technical stakeholders.
We think you need these skills to ace Data Analyst - Equity Investments | Leading Asset Manager | London - eFinancialCareers
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your technical skills, especially in Python or R, and any experience with unstructured datasets. Emphasise your academic background in quantitative fields and relevant projects that showcase your analytical abilities.
Craft a Compelling Cover Letter: In your cover letter, express your passion for markets and investing. Mention specific experiences where you've turned complex data into actionable insights, and how you can contribute to the equity investment team.
Showcase Communication Skills: Since strong communication skills are essential, include examples in your application of how you've effectively communicated data-driven insights to non-technical stakeholders. This could be through presentations, reports, or collaborative projects.
Highlight Relevant Tools Experience: If you have experience with data visualisation tools like Tableau or Power BI, make sure to mention this in your application. Providing examples of dashboards or tools you've created can set you apart from other candidates.
How to prepare for a job interview at eFinancialCareers
✨Showcase Your Technical Skills
Make sure to highlight your coding experience in Python or R during the interview. Be prepared to discuss specific projects where you've used these skills, especially in relation to handling unstructured datasets.
✨Demonstrate Your Market Knowledge
Express your passion for public markets and investment strategies. Familiarise yourself with current trends and be ready to discuss how they might impact equity investments, as this will show your genuine interest in the role.
✨Prepare for Data Visualisation Questions
If you have experience with data visualisation tools like Tableau or Power BI, be ready to talk about how you've used them to create dashboards or insights. If not, consider learning the basics to demonstrate your willingness to adapt.
✨Communicate Clearly with Non-Technical Stakeholders
Since strong communication skills are essential, practice explaining complex data insights in simple terms. Think of examples where you've successfully communicated technical information to non-technical audiences.
