Location: Paris

Position: Quantitative Researcher

About Drakai Capital:

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.