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Quantitative Researcher – Alternative Data | Leading Equity Investment Manager | London, UK | F[...]

Octavius Finance

London

Hybrid

GBP 50,000 - 90,000

Full time

13 days ago

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Job summary

An established industry player is seeking a Quantitative Researcher to join their expanding Quantitative & Data Insights team. This role is pivotal in merging data science with fundamental investing, allowing you to analyze alternative datasets and collaborate closely with portfolio managers to drive investment strategies. With a focus on machine learning and natural language processing, you'll enhance decision-making processes and shape impactful investment narratives. If you have a passion for financial markets and a knack for uncovering actionable insights through data, this opportunity is perfect for you.

Qualifications

  • 2-5 years of experience in Data Analyst, Data Scientist, or Quant Researcher roles.
  • Strong coding skills in Python and SQL, with a focus on data analysis.

Responsibilities

  • Analyze alternative datasets to generate equity insights.
  • Collaborate with investment teams to translate data signals into research.

Skills

Data Analysis
Python
SQL
Collaboration
Financial Markets Knowledge

Tools

Data Visualization Tools
NLP Models
Machine Learning
Web Scraping

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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