Is 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.

Are you passionate about Technology?

At CFM, we inspire innovation through a collaborative approach to work. Our Technology department represents 50% of our workforce and implements solutions to meet business teams’ expectations, whilst working with all CFM teams including Research and Investor Relations. If you are passionate about advancing technology, come and join our team!

The context :

Data is the fuel that powers our investment strategies: intraday price dynamics are used to better our investment decisions; buy/sell intents of market participants help to trade at the best available price… Cfm Data team is in charge of preparing the data to make quant research easier and trading more reliable.

The job :

As a data engineer you will in charge of developing, automating & maintaining data pipelines. The task will involve mostly python (pandas / spark) coding with a bit of C++ if needed.

All our datasets are very demanding; we are looking for someone with a strong technology background, ready to be challenged by scaling issues. The task will also require you to pair-work with quant researchers & support them in extracting as many insights as possible from the data.

The primary responsibility of the new hire will be data engineering but we are a team that gathers operations, development, data engineering & data science skills so there will be chances to grow.

Your profile:

• Proven Python experience

• Team player, able to communicate with quant teams

• Professional English

• Interest in Technology

Extra

• Experience in neural network training