AdresseIs CFM what you’re looking for?
We’re a global asset manager, founded in 1991 and a pioneer in the field of quantitative trading. We are innovative, collaborative and believe in diversity with around 30 nationalities, across our offices around the world.
What can CFM offer you?
We create an environment for highly talented and passionate PhDs, IT engineers and other recognised experts to explore new ideas and challenge assumptions. We are a Great Place to Work and welcome those who are intellectually curious and keen to see CFM’s thinking, research and analysis come to life in a way that benefits our clients.
The context
As pioneers in scientific, quantitative trading, we explore more and more datasets in order to shape and consolidate our trading decisions. The IT Data Financial team works closely with Research to make statistical analyses, drawing on new exploratory data.
The job
You will take part, from the exploratory phase up to production launches, in:
Analysing new structured datasets for alpha research
Extracting relevant features from these datasets to assist the Research teams
Contacts with our data providers
Understanding business issues in order to identify new modelling pathways
Contributing to the development and maintenance of our Data Platform and ingest pipelines
Owning end-to-end data workflows and developing data domain expertise in relation with the Research teams
Data quality assurance and application monitoring
Your profile
Engineering school or university equivalent (preferably a Master’s in Data Science)
At least one experience in data analysis or similar role
Professional knowledge of programming and visualisation in Python
Coding skills with of data science tools and libraries (Numpy, Pandas, Matplotlib, Jupyter)
Knowledge of data pipelines construction
Familiarity with distributed computing tools and cloud technology is a plus (Spark, AWS)
Versatile, autonomous and rigorous, with a strong team spirit and good communication skills
Professional-level knowledge of English.
Your “plusses”
Inquisitive
Good aptitude for synthesizing information
Keen to develop in an environment that handles large volumes of data
Production and result oriented
Interested in financial markets
