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A leading recruitment firm is seeking a Quantitative Crypto Researcher for a dynamic investment management company in Paris. The role involves developing statistical tools, analyzing large datasets, and proposing innovative financial strategies in cryptocurrency. A PhD in applied mathematics, finance, or statistics, along with strong analytical skills and experience in quantitative trading, are required. This position allows for remote work possibilities.
Company Adoc Talent Management is looking for a Quantitative Crypto Researcher / Financial Mathematics M / F for its client, a very innovative investment management company with a start-up spirit, offering a wide range of alternative strategies, specializing in equity derivatives: dividend futures and options on stocks and indices. They have the willingness to explore new businesses and are always seeking new opportunities in ever-changing financial markets.
To optimize the company’s strategies, you will contribute to different R&D projects, developing statistical tools, strategy backtesting, exploiting new models through data analysis, and implementing them in practice. You will be in charge of identifying investment prospects using statistical methods and analyzing extensive datasets while developing and testing quantitative investment strategies, executing trading strategies, and contributing to writing research papers. This role offers the opportunity to join a growing hedge fund, collaborate closely with portfolio managers, and explore the highly promising digital asset industry. You will be expected to propose innovative financial strategies within the domain of cryptocurrency. Autonomy and adaptability are essential qualities for this role. You will have a unique opportunity to propose strategy, test, and explore different topics. The position is to be filled in Paris as soon as possible, with the possibility of partial or full remote work.
You hold a PhD or a PhD plus post-doctoral fellowship, with a specialization in applied mathematics, finance or statistics. You possess strong analytical and quantitative skills. Skills in financial mathematics are essential, including coding, statistical data analysis, and the utilization of large databases. Experience in quantitative trading, AI, and coding trading algorithms is crucial for this position. You have solid expertise in object-oriented programming, such as C, C++, or C#. An experience with Bloomberg would be advantageous. Fluent in English, highly autonomous and self-driven, proactive, and creative, you can perform within a dynamic and challenging work environment.
If you are eager to contribute to the growth of a FinTech and thrive in a challenging and innovative work environment with a real passion for innovative research projects and blockchain, we invite you to submit your application (CV, list of publications, motivations, salary expectations) to Adoc Talent Management.
* Le salaire de référence se base sur les salaires cibles des leaders du marché dans leurs secteurs correspondants. Il vise à servir de guide pour aider les membres Premium à évaluer les postes vacants et contribuer aux négociations salariales. Le salaire de référence n’est pas fourni directement par l’entreprise et peut pourrait être beaucoup plus élevé ou plus bas.