We are looking for strong Python developers with an affinity for risk modelling and quantitative finance..Demonstrated experience in the development of robust, maintainable and extensible Python codeC++: Some..the answer but also the question.QualificationsWhat you need to bringPython: 3+ years developing with Python
Strong coding skills with proficiency in Python...Utilize Python as the primary coding language, with flexibility to adapt to other languages and technologies
Strong programming background (Python, Kotlin, Java, etc..)
of software engineering experience in one of the following languages: Javascript, Typescript, Java, Python
Expert level in Python and the standard data science packages (e.g., pandas, NumPy, scikit-learn, SciPy
Systems Engineering, Computer Science, Applied Math, Economics) Solid code writing capabilities - Python
Computational skills: Excel & VBA + one of: R, Python, or Matlab...Experience in coding in R/Python/SQL/VBA in quantifying model risk.
Expert level in Python and the standard data science packages (e.g., pandas, NumPy, scikit-learn, SciPy
and NLP • Must have some experience with a programming, statistical, and/or querying languages like Python
experience in IT and banking is desirableA minimum of 5 years’ similar experience is requiredKnowledge of PYTHON
Proven knowledge of modern DevOps tooling (Linux, Kubernetes, Openshift, Docker, Ansible, Terraform, Python..Knowledge/experience in database manipulation (SQL) and software development, preferably in Go, Java, or Python
databasesTechnical skills: IBM i /Unix / Linux / Microfocus / Windows / PowerShell scripting / Docker / Kubernetes / Python
quantitative research; Proficiency in coding, with experience using a statisticalputing language ( Python
containerization technologies (e.g., Docker, Kubernetes) Proficiency in scripting languages (e.g., Python
but must be willing to learn Nice to have: Experience with Linux development Knowledge of Python
As an ideal candidate for this position, you should have a solid background in using SQL and Python,..professional experience (usually 2-10 years depending on degree) utilizing quantitative analysis is required Python
As an ideal candidate for this position, you should have a solid background in using SQL and Python,..professional experience (usually 2-10 years depending on degree) utilizing quantitative analysis is required Python
Desirable Modern development stack: source control, CI/CD, containers, etc.Experience with: Linux, Python
Proficiency in SQL & Python programming Proficiency using Airflow Experience building CI/CD pipelines
Coding ability in Python/ C++ is very important .
