Quantitative Researcher

3 weeks ago

London Area, United Kingdom Marlin Selection Recruitment Full time

Quantitative Researcher



Locations: London, Paris, New York, Zug, or Hong Kong



Company Overview:

Our client is a leading asset management firm that provides a wide range of investment solutions across multiple asset classes and they are seeking a number of talented Quantitative Researcher across multiple asset classes to join their dynamic teams and contribute to their success.



Job Summary:

The Quantitative Researcher will play a critical role in developing and implementing quantitative models and strategies to enhance our investment decision-making processes. The successful candidate will work across various asset classes, including equities, fixed income, commodities, and derivatives, utilizing a robust tech stack comprising Python and/or C++.



Key Responsibilities:

  • Develop, implement, and maintain quantitative models for asset pricing, risk management, and portfolio construction.
  • Conduct research on financial markets and instruments to identify and exploit inefficiencies.
  • Collaborate with portfolio managers and traders to integrate quantitative insights into investment strategies.
  • Analyze large datasets to uncover trends, patterns, and investment opportunities.
  • Perform back-testing of quantitative strategies to assess their effectiveness and robustness.
  • Continuously monitor and improve existing models to adapt to changing market conditions.
  • Present research findings and model performance to internal stakeholders in a clear and concise manner.
  • Stay up-to-date with the latest developments in quantitative finance, technology, and financial markets.



Qualifications:

  • Advanced degree (Master's or Ph.D.) in a quantitative discipline such as Mathematics, Statistics, Physics, Computer Science, or Financial Engineering.
  • Strong programming skills in Python and/or C++.
  • Proven experience in quantitative research and model development, preferably within an asset management or financial services environment.
  • Deep understanding of financial markets, instruments, and asset classes.
  • Proficiency in statistical analysis, machine learning, and data mining techniques.
  • Excellent problem-solving skills and attention to detail.
  • Ability to work collaboratively in a team-oriented environment.
  • Strong communication skills, with the ability to convey complex concepts to non-technical stakeholders.



Preferred Qualifications:

  • Experience with other programming languages and tools such as R, MATLAB, or SQL.
  • Knowledge of high-performance computing and optimization techniques.
  • Familiarity with database management and handling large datasets.
  • Published research in peer-reviewed journals or industry conferences.



What our client offers:

  • Competitive compensation and benefits package.
  • Opportunities for professional development and career advancement.
  • A collaborative and innovative work environment.
  • Access to cutting-edge technology and resources.


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**Note:** This job description is intended to provide a general overview of the position and does not encompass all responsibilities and requirements. Duties, responsibilities, and activities may change at any time with or without notice.

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