This list contains only the countries for which job offers have been published in the selected language (e.g., in the French version, only job offers written in French are displayed, and in the English version, only those in English).
Quantitative Developer will be a core member of the quantitative development team. The individual will be responsible for the overall software infrastructure used by QRA and other risk teams. This includes necessary software upgrades to make sure the team is equipped with best-in-class and latest software components and setting up the software tools for the seamless use by fellow team members. Successful candidate will work on maintaining production codebases, ensuring high performance and reliability, and integrating languages and components with low friction into the toolchain. He will also be the key contact on any matters related to coding standards within the Team, ensuring these standards are implemented and adhered to. The individual will participate in the development, maintenance, and performance improvement of risk libraries, software infrastructure, using Python and C++ as the primary languages. In addition, the incumbent will be involved in setting up version control software, monitor the performance of the in-house developed code and help the team implement more robust automated testing and continuous integration processes.
Job Responsibility:
Designing and maintaining the software infrastructure of the team.
Participate in the design and development of in-house developed software solutions.
Assist in maintenance and performance improvement of the existing in-house risk library and overall Team’s software infrastructure.
Assert and maintain high coding standards across the Team’s software ecosystem.
Collaborate with IT teams to resolve any BAU issues the Team might be facing.
Participate in forums related to any dependencies pertaining to IT matters with the potential to influence the Team’s work.
Requirements:
3+ years professional experience with modern Python or C++.
Proficiency in C++: good knowledge of data structures, algorithms, and design patterns.
Proficiency in Python: ability to prototype, write scripts, and do the data manipulation along with integration with C++ code.
Experienced in setting up and maintaining development environments and toolchains for Python and C++.
Demonstrates solid knowledge of software engineering best practices, encompassing version control with Git, peer code review, and systematic unit and integration testing.
Good problem-solving, debugging, profiling skills.
Familiarity with HTTP-based APIs and methods.
Good communication skills, ability to work cross‐functionally.
MSc in Finance or Sciences.
Nice to have:
Knowledge of quantitative finance, risk modelling and derivatives is a plus.
Familiarity with P&L explain is a good-to-have.
Experience with DevOps practices, including CI/CD and automation, is advantageous.
Knowledge of R and Julia is a good-to-have.
Knowledge of setting up modern machine learning frameworks (e.g., PyTorch, Google Colab) is considered an asset.
What we offer:
Varied, stimulating and engaging work that gives you an opportunity to interact with a wide range of experts.
A working culture that embraces inclusion and celebrates diversity.
An environment that places sustainability, equality and digital transformation at the heart of what we do.