L/S Quant Researcher

Sector Data Analyst

Overview

This role sits within a highly collaborative investment team and focuses on transforming complex datasets into actionable insights that support fundamental equity research and investment decision-making. The successful candidate will work closely with investment professionals, data engineers, and alternative data specialists to identify trends, test investment hypotheses, and enhance the research process through data-driven analysis.

Key Responsibilities

• Generate data-driven insights and research ideas for the fundamental equity investment team.
• Analyze large and complex datasets to identify trends, patterns, and investment opportunities.
• Build and maintain quantitative tools, models, screeners, dashboards, and analytical frameworks used by investment professionals.
• Estimate and forecast key performance indicators (KPIs) for companies and sectors using structured and alternative data sources.
• Design and execute data-driven studies to validate or challenge investment hypotheses.
• Evaluate new and existing datasets for quality, coverage, predictive value, and investment relevance.
• Partner with data engineering, data sourcing, and investment teams to improve research workflows and identify new analytical opportunities.
• Develop custom analytical features and variables that can be integrated into fundamental valuation models.
• Support investment teams through ad hoc research projects, sector analysis, and company-level investigations.

Required Skills & Experience

• Bachelor's degree in a quantitative discipline such as Mathematics, Statistics, Computer Science, Engineering, Economics, Finance, or a related field.
• Strong programming expertise with advanced Python and SQL skills.
• Experience working with large datasets and applying data analysis techniques to solve complex problems.
• Ability to translate business or investment questions into structured analytical projects.
• Strong communication skills with the ability to present findings to both technical and non-technical stakeholders.
• Proven ability to work effectively in a fast-paced, collaborative environment while managing multiple priorities.

Preferred Experience

• Experience with alternative data research and analysis.
• Exposure to fundamental equity research, investment analysis, or financial markets.
• Familiarity with company financials, sector analysis, and investment research methodologies.

Ideal Candidate Profile

The ideal candidate combines strong technical and analytical skills with a genuine interest in financial markets and investing. They enjoy working with data to solve real-world investment problems, are intellectually curious, and can effectively bridge the gap between quantitative analysis and fundamental research.

This role is well-suited to individuals who thrive in collaborative, high-performance environments and want to see their work directly influence investment decisions.

What Makes This Opportunity Attractive

• Direct impact on investment decisions and portfolio research.
• Opportunity to work with diverse alternative and traditional datasets.
• Close collaboration with experienced investment professionals and research teams.
• Exposure to cutting-edge data science techniques within an investment setting.
• Significant scope to build proprietary tools, models, and research frameworks that add measurable value to the investment process.
• Dynamic, intellectually stimulating environment focused on generating investment alpha through data-driven research.
• Strong visibility across investment, research, and technology teams.
• Ability to work on projects that directly influence capital allocation and portfolio outcomes.