Marlin Selection Recruitment
Quantitative Researcher
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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 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.
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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.
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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.
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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