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Quantitative Researcher – Equities

Marlin Selection Ltd

London

On-site

GBP 60,000 - 100,000

Full time

30+ days ago

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Job summary

An established industry player is seeking a talented Quantitative Researcher to join their innovative team in London. This exciting role focuses on developing alpha research for systematic equity strategies, where you will collaborate with experts in a fast-paced environment. You'll leverage your Python programming skills and quantitative background to analyze diverse datasets and contribute to model development. Join a firm that values collaboration and innovation, and make a significant impact on global equity markets through cutting-edge research and analysis.

Qualifications

  • Proficiency in Python for quantitative research and model building.
  • Masters or PhD in Computer Science, Applied Mathematics, or Statistics.

Responsibilities

  • Develop alpha research for equity strategies with a focus on idea generation.
  • Collaborate with the Senior Portfolio Manager on model implementation.

Skills

Python
Statistical Learning
Critical Thinking
Economic Intuition

Education

Masters in Quantitative Discipline
PhD in Quantitative Discipline

Job description

Location: London
Industry: Systematic Equity Strategies
Job Type: Full-Time, Permanent

Our Client:
We are partnering with a leading global investment firm based in London, renowned for its data-driven, innovative approach to equity research. They are seeking an experienced Quantitative Researcher to join their dynamic team, focusing on systematic equity strategies. This is a fantastic opportunity for a talented individual to contribute to cutting-edge alpha research and work with a team of like-minded experts in the field.

Key Responsibilities:

As a Quantitative Researcher, you will play a vital role in the development of alpha research for equity strategies. Your responsibilities will include:

  • Alpha Research: Collaborating closely with the Senior Portfolio Manager (SPM) to drive the research agenda, with a primary focus on idea generation, data gathering, research/analysis, model implementation, and backtesting of systematic equity strategies.
  • Model Development: Combining financial insights with advanced statistical learning techniques to analyze diverse datasets, build predictive models, and apply them to the investment process.
  • Collaboration: Working alongside the SPM and investment team in a highly transparent environment, ensuring alignment throughout the investment lifecycle.

Required Technical Skills:

  • Programming: Proficiency in Python for quantitative research, model building, and analysis.
  • Academic Background: A Masters or PhD in a quantitative discipline such as Computer Science, Applied Mathematics, Statistics, or a related field from a top-ranked university.
  • Research Experience: Solid background in alpha research and systematic strategy development.

Desired Experience:

  • Experience in Cash Equities: 3-5 years of hands-on experience in equity research, specifically in alpha research for cash equities strategies.
  • Data Expertise: Demonstrated ability to analyze fundamental, event-related, and alternative datasets, integrating this information into actionable insights for strategy development.

Highly Valued Skills & Experience:

  • Strong economic intuition and the ability to apply critical thinking to complex financial problems.
  • Previous involvement in statistical arbitrage strategies will be considered highly advantageous.

Why Join This Team?

This role provides a unique opportunity to work in a fast-paced, intellectually stimulating environment with access to diverse datasets and cutting-edge technology. You will be part of a collaborative team focused on deploying systematic strategies that impact the global equity markets.

If you are passionate about quantitative research, systematic trading, and want to work with a firm that thrives on collaboration and innovation, we encourage you to apply!

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