Senior Python Developer - Numpy/Pandas (10-14 yrs)

Responsibilities :

- Develop complex actuarial and financial products, processes, and libraries powered by HPC on GPUs in an Agile environment.

- Develop innovative solutions to some of the most complex and challenging problems by collaborating as needed across regions, product areas, and functions.

- Understand trends in financial and insurance industries, the cloud ecosystem, the competitive market, and customer requirements in depth.

Requirements :

- Bachelor's degree in a technical field such as Electrical/Computer Engineering or Computer Science, Master's degree a plus.

- 10+ years' experience as a Python Software Engineer in developing and launching products, libraries, and technologies within the actuarial and/or financial industries in an agile environment.

- Expert knowledge of Python (NumPy, Pandas, SciPy) is a must.

- Expert knowledge of Agile methodologies and Software Development Life Cycle (SDLC).

- Experience with Azure Devops and Atlassian tools, Jira, and Confluence.

- Knowledge of C, C++, and C# is a plus.

- Knowledge of parallel computing and Cuda a big plus.

- Experience with software version control systems: git, svn.

- Experience developing software on Linux.

- Knowledge of actuarial and/or financial products and libraries such as QuantLib.

- Technical knowledge and experience in multiple Software Development Life Cycle (SDLC) models.