mthree
SeniorSoftwareEngineer
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior Software Engineer at mthree. Skills: Python, Software Engineering, Testing. contributing to development. enhancement of credit risk modelling toolkit”
Industry & Context.
Experience identifying and addressing code smells
be open to relocating, currently authorized to work in Poland on a full-time basis
What They're Looking For.
Must Have
commercial experience building and testing Python applications, understanding of object-oriented programming, test-driven development, Solid knowledge of testing principles and best practices, experience with pytest, understanding of coding best practices, writing clean, maintainable, pythonic code, Experience identifying and addressing code smells, Familiarity with code review best practices, Practical understanding of SOLID principles, common design patterns, Good working knowledge of Git version control, Experience working in Agile development environments, continuous integration practices, stakeholder engagement skills, ability to understand end-user requirements, solid Python development experience, contributing to large-scale Python libraries, testing frameworks, currently authorized to work in Poland on a full-time basis
Nice to Have
MSc or PhD in Computer Science, Mathematics, Physics, Operational Research, Information Systems, or a related technical discipline, Exposure to credit risk analytics or related financial risk domains, familiarity with the scientific Python stack, NumPy, SciPy, pandas, polars, Matplotlib, Experience with PySpark, other Big Data technologies, Experience contributing to open-source projects, developing reusable Python libraries
What You'll Do.
contributing to development
enhancement of credit risk modelling toolkit
partnering with modellers
gather feedback for improvements
How You'll Work.
Team & Collaboration
partnering with modellers; stakeholder engagement
Communication Scope
stakeholder engagement skills; understand end-user requirements
Full Job Description
The role will involve contributing to the development and enhancement of the credit risk modelling toolkit while partnering with modellers to ensure the toolkit is being used correctly and efficiently; and gather feedback to support future improvements and enhancements. This position requires strong stakeholder engagement skills, the ability to understand end-user requirements, and solid Python development experience, including contributing to large-scale Python libraries and testing frameworks. Essential Skills Strong commercial experience building and testing Python applications in a professional environment. Strong understanding of object-oriented programming and test-driven development. Solid knowledge of testing principles and best practices, including experience with pytest. Strong understanding of coding best practices and writing clean, maintainable, pythonic code. Experience identifying and addressing code smells. Familiarity with code review best practices. Practical understanding of SOLID principles and common design patterns. Good working knowledge of Git version control. Experience working in Agile development environments, ideally with continuous integration practices. Nice to Have MSc or PhD in Computer Science, Mathematics, Physics, Operational Research, Information Systems, or a related technical discipline. Exposure to credit risk analytics or related financial risk domains. Strong familiarity with the scientific Python stack, including NumPy, SciPy, pandas, polars, and Matplotlib. Experience with PySpark or other Big Data technologies. Experience contributing to open-source projects or developing reusable Python libraries. How to apply: Apply via the form below and tell us a bit about you. Complete the online assessment (we’ll send you a link by email). Complete the interviews with our friendly talent team over phone and video. Lastly, you’ll interview with one or more of our clients. So you don’t miss out on your dream job, we encourage you to be
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