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Quantitative Researcher – Alternative Data | Leading Equity Investment Manager

Octavius Finance

London

On-site

GBP 50,000 - 90,000

Full time

2 days ago
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Job summary

An established industry player is seeking a Quantitative Researcher to enhance their investment strategies by leveraging alternative data. This exciting role blends data science with fundamental investing, allowing you to analyze diverse datasets and collaborate with investment teams to translate insights into actionable strategies. You'll be at the forefront of innovation, utilizing machine learning and NLP to refine stock selection and optimize trade execution. If you're passionate about finance and eager to make a real impact in the investment world, this opportunity is perfect for you.

Qualifications

  • 2-5 years of experience in data analysis or quantitative research roles.
  • Strong coding skills in Python and SQL with a focus on alternative data.

Responsibilities

  • Analyze alternative datasets to generate equity insights.
  • Build machine learning models to uncover behavioral patterns.

Skills

Python
SQL
Data Analysis
Machine Learning
Natural Language Processing (NLP)
Web Scraping
Data Visualization

Tools

Shiny
Plotly
Dash

Job description

Quantitative Researcher – Alternative Data | Leading Equity Investment Manager

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.

To apply, please submit your CV to quantresearch@octaviusfinance.com

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