Senior Quantitative Researcher

QuantumLight; London; On-site; GBP 60,000 - 100,000; Full time

Job summary

Join a leading company in the finance sector as a Senior Quantitative Researcher, where you'll innovate ML models to predict startup performance. Leverage an extensive database to refine investment strategies aimed at outperforming market benchmarks. Your contributions will directly influence investment decisions while collaborating with cross-functional teams.

Qualifications

• Minimum 2 years of experience in a Quantitative Research role.
• Proficiency in Machine Learning and Python required.
• Familiarity with investment research sources is a plus.

Responsibilities

• Lead the creation and maintenance of advanced ML models.
• Conduct model enhancement and feature analysis.
• Collaborate with Data Science and Data Engineering teams.

Skills

Machine Learning

Python programming

Statistics

Education

STEM degree in Mathematics or Physics

Tools

Spark feature construction pipelines

Job description

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About The Role

As a Senior Quantitative Researcher, you will lead the creation, optimisation, and ongoing maintenance of advanced machine learning (ML) models, which are essential for evaluating investment prospects and forecasting their performance. You will delve into an extensive database comprising over 500 tested and analysed features, refining and expanding this set to enhance predictive accuracy, as well as generate new hypotheses that could serve as indicators of startup success. Ultimately, your expertise will be instrumental in formulating and executing strategies aimed at identifying startups with the potential to outperform market benchmarks, thereby driving our investment decisions.

About The Role

As a Senior Quantitative Researcher, you will lead the creation, optimisation, and ongoing maintenance of advanced machine learning (ML) models, which are essential for evaluating investment prospects and forecasting their performance. You will delve into an extensive database comprising over 500 tested and analysed features, refining and expanding this set to enhance predictive accuracy, as well as generate new hypotheses that could serve as indicators of startup success. Ultimately, your expertise will be instrumental in formulating and executing strategies aimed at identifying startups with the potential to outperform market benchmarks, thereby driving our investment decisions.

Key Responsibilities Would Include

• Alpha Generation. Own the entire pipeline: from generating an idea and assessing its viability, to code implementation and deployment.
• Investment portfolio research and optimisation.
• Model enhancement and in-depth feature analysis. Continuously create new features for start up success prediction and analyse the impact of each feature on the model.
• Research reporting.
• Investment data collection and organisation.
• Data Quality Control. Exploration of new and alternative data sources.
• Collaboration with the Data Science and Data Engineering teams.
  
  

Requirements

• A minimum of 2 years of experience in a Quantitative Research role
• A STEM degree, preferably in Mathematics or Physics
• Proficiency in Machine Learning, Python programming, and a strong foundation in statistics.
• Familiarity with Spark feature construction pipelines.
• Knowledge of commonly used investment research sources, such as financial news websites, industry reports, and basic financial statements

Seniority level

• Seniority level

  Not Applicable

Employment type

• Employment type

  Full-time

Job function

• Job function

  Finance and Sales

• Industries

  Venture Capital and Private Equity Principals

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