Quantitative Researcher

4 weeks ago

Camden Area, United Kingdom Marlin Selection Recruitment Full time
Quantitative Researcher

Locations:

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

Company Overview:nOur 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:nThe 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:nDevelop, implement, and maintain quantitative models for asset pricing, risk management, and portfolio construction.nConduct research on financial markets and instruments to identify and exploit inefficiencies.nCollaborate with portfolio managers and traders to integrate quantitative insights into investment strategies.nAnalyze large datasets to uncover trends, patterns, and investment opportunities.nPerform back-testing of quantitative strategies to assess their effectiveness and robustness.nContinuously monitor and improve existing models to adapt to changing market conditions.nPresent research findings and model performance to internal stakeholders in a clear and concise manner.nStay up-to-date with the latest developments in quantitative finance, technology, and financial markets.

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

Preferred Qualifications:nExperience with other programming languages and tools such as R, MATLAB, or SQL.nKnowledge of high-performance computing and optimization techniques.nFamiliarity with database management and handling large datasets.nPublished research in peer-reviewed journals or industry conferences.

What our client offers:nCompetitive compensation and benefits package.nOpportunities for professional development and career advancement.nA collaborative and innovative work environment.nAccess 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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