Join our teamOur company thrives on new ideas, and we want those who can provide them. If you think you have what it takes, have a look below.
Business AnalystLisbon Learn More
Python DeveloperLisbon Learn More
Python DeveloperWarsaw Learn More
DevOps EngineerWarsaw Learn More
Data Engineer/DeveloperWarsaw Learn More
Quantitative AnalystSingapore Learn More
Full Stack EngineerWarsaw Learn More
Quantitative Software DeveloperLondon Learn More
Full Stack EngineerPrinceton Learn More
Quantitative Software DeveloperSingapore Learn More
Junior Quantitative DeveloperWarsaw Learn More
Junior Quantitative AnalystWarsaw Learn More
CompatibL's student opportunities are designed to provide you with an exciting, supportive, and fun experience combined with real-world responsibilities and professional development.
Internships at CompatibL are not just a way to bring you on board. They are a way for you to explore the industry, work with people who have a passion for technology, and decide which career with us is best for you.
With our part-time opportunities that do not interfere with your study schedule will help you achieve your early career goals, cultivating best practices for professional growth.
If you are graduating and seeking a full-time position after your internship, you will be considered for a full-time job offer during your internship.
Learn from the best. Work with the best.
Even if you are on the other side of the world, CompatibL will identify your passions and strengths, and align them to a team where you will have the most impact.
Join the new wave of technology professionals and directly contribute to large-scale projects for pricing, trading, and risk management of derivatives for large banks and hedge funds, alongside CompatibL's seasoned professionals in a positive and supportive work environment.
We are always looking for awesome people!
- VAE for handwritten digits from the MNIST dataset
- VAE for the yield curve
- Autoencoder short rate model in the Q- and P-measures
- Autoencoder forward rate model in the Q-measure
- Autoencoder term rate model in the P-measure
- Hands-on examples in Python