Financial Engineer @ Verita HR

• Opportunity to work in a major global financial institution
• Clear career path in an international environment
• Professional training and development
• Autonomy and ownership of your work
• Supportive team of experienced professionals
• Exposure to a wide range of business lines and markets
• 2–3 years of professional experience in software development, ideally in Python (or strong experience in C++, C#, or Java with solid Python proficiency)
• Understanding of the application/software development lifecycle and familiarity with Agile practices
• Solid understanding of software design patterns and testing principles/methodologies
• Good grasp of algorithms and data structures, and awareness of code optimization techniques
• M.Sc./B.Sc. in Computer Science, Mathematics, Physics, or a related quantitative discipline (e.g., Quantitative Finance, Economics, Engineering)
• Fluent English, written and spoken; comfortable working in an international team • Opportunity to work in a major global financial institution
• Clear career path in an international environment
• Professional training and development
• Autonomy and ownership of your work
• Supportive team of experienced professionals
• Exposure to a wide range of business lines and markets ,[Design, develop, and maintain components of a quantitative library in Python, transforming models and code from quantitative teams into production-ready services, Contribute to software development across prototyping initiatives, building both proof-of-concept solutions and production-quality platforms, Support model release lifecycle activities, including testing and technical documentation, Collaborate closely with quantitative analysts, engineers, IT, and other stakeholders to translate analytical requirements into technical implementations, Work within an Agile development environment, Move flexibly between rapid prototyping to validate new analytical concepts and structured development of robust, scalable solutions] Requirements: Python, SQL