Job Description
About the position
You will apply your technical skills in a practical, real-world setting at CERN's Pension Fund.
You will work in a team of software developers / quants who provide guidance and support, while also having plenty of room for creativity and experimentation.
The small team size and rapid deployment cycles ensure that your work has a high and immediate impact on the organisation.
We are searching for a skilled Python Quant Developer to support the design, development, and implementation of financial trading strategies.
This role requires a strong background in software engineering combined with quantitative analysis skills.
You will collaborate closely with the Investment Group to build innovative tools, optimise trading strategies and enhance the Fund's technological capabilities.
The project you will be working on plays a key role in testing and deploying trading strategies, analysing investment products and generating reports.
It processes large volumes of data and runs complex calculations to support informed decision-making.
The project focuses on providing the Investment Group with tools to monitor and improve the quality and performance of investments.
The system helps portfolio and risk managers analyse both market data and the investment portfolio.
Responsibilities:
* Work with large volumes of financial data, gaining an in-depth understanding of internal databases.
* Develop Python-based functionalities to retrieve, clean, and process financial data.
* Contribute to the design, development, testing, and deployment of solutions for algorithmic financial strategies.
* Optimise and enhance existing trading algorithms and systems as needed.
* Provide support and troubleshooting for existing infrastructure, trading algorithms, and develop new reporting tools.
Your profile
Skills
Required:
* Proficiency in Python programming.
* Familiarity with the Python data science stack (NumPy, Pandas, etc.).
* Competency in Git.
* Experience working with relational databases.
* Strong analytical and problem-solving skills.
* Excellent communication and teamwork abilities.
* Professional experience in quantitative finance or algorithmic trading.
* Knowledge of financial instruments and market structures.
* Experience with backtesting frameworks and statistical modelling.
* Good understanding of OOP principles.
* Familiarity with unit and integration testing.
* Spoken and written English, with a commitment to learn French.
* By the application deadline, you have a maximum of two years of professional experience since graduation in Computer Science (or a related field) and your highest educational qualification is either a Bachelor's or Master's degree.
* You have never had a CERN fellow or graduate contract before.
* Applicants without a university degree are not eligible.
* Applicants with a PhD are not eligible.