Senior Quantitative Investment Engineer
AXA Investment ManagersAbout the Role
Join AXA Investment Managers as a Senior Quantitative Investment Engineer, where you will be at the forefront of leveraging data and quantitative techniques to drive innovation in asset management. This role is perfect for those passionate about data science, machine learning, and econometrics, offering a chance to work in a dynamic team environment.
Responsibilities
- Collaborate with Quantitative Researchers and Data Scientists to develop and fine-tune algorithms and machine learning models.
- Implement a wide range of algorithms tailored to the needs of various departments within the organization.
- Contribute to the development of specialized and strategic models, signals, and portfolio construction methodologies.
- Work closely with Portfolio Managers and Researchers to advance financial strategies.
Qualifications
- 5-8 years of experience in Asset Management or Investment Banking.
- Strong proficiency in Python programming.
- Good knowledge of Machine Learning and Data Science.
- Understanding of Econometrics and standard financial statistical methods.
- Experience with Data warehouse and relational databases.
- Familiarity with Git and software deployment in cloud environments.
- Proficiency in English; proficiency in a second European language, particularly French, is an advantage.
Why Join Us
At AXA IM, we are committed to fostering a diverse and inclusive workplace where every team member is valued and respected. We encourage female candidates to apply and bring their unique perspectives to our team. We offer opportunities for continuous learning and innovation, making AXA IM a great place to advance your career in quantitative investment engineering.
How to Apply
Ready to take on a new challenge and make an impact in the world of asset management? Apply now and join us on our journey to drive innovation and excellence in quantitative investment engineering!
Benefits Extracted with AI
- Diverse and inclusive workplace
- Opportunities for continuous learning and innovation
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