Quantitative Researcher

il y a 2 jours


Paris, France Drakaicapital Temps plein

Drakai Capital is a Paris based investment management firm that augments credit investing with technology to deliver consistent low volatility alpha. We have a strong focus on cross asset strategies with superior risk-adjusted returns. Our mandate is global, and our trading approach is data driven and leverages the latest advances in data science.Position Overview:We are seeking a talented Quantitative Researcher to join our team. The ideal candidate will have a strong background in applied mathematics or computer science, 3 years of experience, ideally with a PhD. As a Quantitative Researcher at Drakai Capital, you will play a crucial role in developing and implementing quantitative models that drive our systematic credit strategies.Key Responsibilities:Conduct in-depth research and analysis to develop innovative quantitative models for credit markets.Collaborate with a team of researchers and portfolio managers to design and implement systematic trading strategies.Utilize advanced statistical learning techniques to enhance model performance and risk management.Continuously monitor and refine models to adapt to changing market conditions.Apply quantitative techniques and market intuition to large financial datasets.Qualifications:Deep knowledge of Mathematics, Probability, Statistics, and algorithms, ideally with a PhD in Applied Mathematics, Computer Science, or a related field.Strong programming skills in Python.Experience with statistical analysis, statistical learning, and data mining techniques.Knowledge of financial markets, particularly credit markets, is a plus.Excellent problem-solving skills and attention to detail.Ability to work collaboratively in a fast-paced, team-oriented environment.How to Apply:If you are passionate about quantitative research and eager to contribute to the success of our young investment firm, please send your resume and a cover letter detailing your relevant experience and interest in the position. #J-18808-Ljbffr


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