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- Tasks: Analyse alternative datasets to generate equity insights and support investment decisions.
- Company: Join a leading equity investment manager known for innovation and data-driven strategies.
- Benefits: Enjoy a dynamic work environment with opportunities for professional growth and collaboration.
- Why this job: Make a real impact in finance by blending data science with investment strategies.
- Qualifications: 2-5 years in data roles, strong Python and SQL skills, and a passion for financial markets.
- Other info: Experience with NLP and web scraping is a plus; ideal for those eager to innovate.
The predicted salary is between 48000 - 72000 £ per year.
We’re partnering with a top-tier equity investment firm expanding its Quantitative & Data Insights team. They’re looking for a Quantitative Researcher with strong expertise in alternative data and a passion for uncovering actionable investment insights. This role sits at the crossroads of data science and fundamental investing. You’ll work closely with portfolio managers and analysts, leveraging data to inform stock-level decisions. While experience in equities is helpful, it’s not essential.
What You’ll Do:
- Analyse alternative datasets (e.g. credit card transactions, job postings, web traffic) to generate equity insights
- Collaborate with investment teams to translate data signals into stock-specific research
- Combine fundamental and quantitative analysis to support decision-making, portfolio modelling, and stress testing
- Work with engineers to improve NLP models for processing unstructured data from research and filings
- Build machine learning models to uncover behavioural patterns and enhance portfolio manager feedback loops
- Scrape and structure web-based and unstructured text data for investment relevance
- Conduct behavioural analytics to refine stock selection, mitigate biases, and optimise trade execution
What We’re Looking For:
- 2–5 years’ experience in a Data Analyst, Data Scientist or Quant Researcher role, ideally with exposure to alternative data
- Strong coding skills in Python and SQL; familiarity with data visualisation tools
- Proven ability to collaborate with portfolio managers and analysts; capable of translating data into investment narratives
- Deep interest in equities and financial markets
- Bonus points for experience with nowcasting, web scraping, NLP, or interactive dashboards (e.g. Shiny, Plotly, Dash)
Why This Role?
This is a chance to work at the intersection of fundamental and quantitative research, using data science to drive smarter equity investing. You’ll play a key role in shaping investment strategies with real-world impact.
Quantitative Researcher – Alternative Data | Leading Equity Investment Manager | London, UK | F[...] employer: Octavius Finance
Contact Detail:
Octavius Finance Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Researcher – Alternative Data | Leading Equity Investment Manager | London, UK | F[...]
✨Tip Number 1
Familiarise yourself with alternative data sources relevant to equity investing. Understanding how to analyse datasets like credit card transactions or web traffic can set you apart during discussions with potential employers.
✨Tip Number 2
Brush up on your coding skills, particularly in Python and SQL. Being able to demonstrate your proficiency in these languages will be crucial, as they are essential for the role of a Quantitative Researcher.
✨Tip Number 3
Network with professionals in the investment management field. Attend industry events or webinars where you can meet portfolio managers and analysts, as building these connections can provide valuable insights and potentially lead to job opportunities.
✨Tip Number 4
Stay updated on the latest trends in quantitative research and financial markets. Reading relevant publications or following thought leaders on social media can help you engage in informed conversations during interviews.
We think you need these skills to ace Quantitative Researcher – Alternative Data | Leading Equity Investment Manager | London, UK | F[...]
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data analysis, quantitative research, and any exposure to alternative data. Emphasise your coding skills in Python and SQL, as well as any projects that demonstrate your ability to translate data into actionable insights.
Craft a Compelling Cover Letter: In your cover letter, express your passion for equity investing and how your background aligns with the role. Mention specific experiences where you've collaborated with investment teams or used data to inform decisions, showcasing your understanding of both fundamental and quantitative analysis.
Showcase Technical Skills: Highlight your technical skills prominently, especially in Python, SQL, and any data visualisation tools you are familiar with. If you have experience with NLP, web scraping, or machine learning models, be sure to include examples of how you've applied these skills in previous roles.
Demonstrate Interest in Financial Markets: Convey your deep interest in equities and financial markets throughout your application. You can do this by discussing relevant coursework, personal projects, or even market trends you follow, which will show your enthusiasm and commitment to the field.
How to prepare for a job interview at Octavius Finance
✨Showcase Your Data Skills
Be prepared to discuss your coding skills in Python and SQL. Bring examples of past projects where you analysed alternative datasets or built machine learning models, as this will demonstrate your technical expertise.
✨Understand the Investment Landscape
Familiarise yourself with current trends in equities and financial markets. Being able to discuss how alternative data can influence stock selection will show your passion and understanding of the role.
✨Prepare for Collaboration Questions
Since the role involves working closely with portfolio managers and analysts, think of examples that highlight your ability to collaborate effectively. Be ready to explain how you've translated data into actionable investment insights in the past.
✨Demonstrate Your Analytical Thinking
Expect questions that assess your analytical skills. Prepare to discuss how you combine fundamental and quantitative analysis to support decision-making, and be ready to tackle hypothetical scenarios related to stock-level decisions.
