ABOUT CFM
Founded in 1991, we are a global quantitative and systematic asset management firm applying a scientific approach to finance to develop alternative investment strategies that create value for our clients.
We value innovation, dedication, collaboration, and the ability to make an impact. Together, we create a stimulating environment for talented and passionate experts in research, technology, and business to explore new ideas and challenge existing assumptions.
ABOUT THE TEAM
The CFM Data team is responsible for sourcing, curating and providing reference data for CFM as the standardized language used across all departments from research to trading. Reference data and the systems that hold them are heavily involved in every single trade that goes out at CFM. Continuous innovation within this reference data platform is key to enable CFM to scale with the rapidly growing universe of market data and implement even more complex trading models.
ABOUT THE ROLE
We are seeking a dynamic and autonomous Senior Data Engineer to join a group within Data that aims to bring an innovative approach to consume our reference data.
The underlying platform is designed to enable our quant research team to explore more complex trading models and the proposed role is pivotal in developing these capabilities within CFM.
Part of this Data group you will be responsible for:
The ideal candidate should have a deep understanding of both development and operations with a desire to be at the forefront. Candidate should feel comfortable in taking end to end ownership of their work and be proactive in a fast-moving collaborative setup.
Bonus:
EQUAL OPPORTUNITIES STATEMENT
We are continuously striving to be an equal opportunity employer and we prohibit any discrimination based on sex, disability, origin, sexual orientation, gender identity, age, race, or religion. We believe that our diversity, breadth of experience, and multiple points of view are among the leading factors in our success.
CFM is a signatory of the Women Empowerment Principles.