Senior Software & Platform Engineer – Risk Modeling Platform

At SCOR, technology is a vital resource and partner in building more resilient societies. Join a dynamic tech team of over 230 professionals across three global hubs, guided by corporate values—Collaboration, Courage, Care, Open-Mindedness, and Integrity—to develop technology that insures the world.

At the brand-new Shared Business Platform (SBP) in Bucharest, career growth is actively supported through internal mobility, globally recognized certifications, and continuous professional development. Flexible work arrangements and wellbeing initiatives are valued to help you thrive both personally and professionally.

• Design efficient, testable, reusable, and reliable code in Python and Docker on a web platform.
• Implement and enhance the Front end and Back end of applications responsible for task orchestration.
• Implement and design solutions on the cloud, mainly Microsoft Azure.
• Contribute to applications and platforms that support statistical modelling, analytical workflows, model execution frameworks, and large-scale quantitative computations, helping actuaries optimize models and algorithms.
• Work on solutions using Linux, Docker, DataBricks, JupyterHub, Postgres, and related technologies.
• Collaborate closely with the IT Technical team to handle automation, incidents, and 3rd level support.
• Integrate user-facing elements with server-side logic.
• Work collaboratively in architecting and developing solutions.
• Work across modelling constraints, data integration requirements, infrastructure, and software development to translate quantitative and business needs into robust technical solutions.
• Contribute to the future integration of the Risk Modeling Platform with strategic data platforms, working closely with modelling, data integration, architecture, and IT delivery teams.
• Work with a team of skilled Quantitative Developers.
• Stay abreast of emerging technologies and industry trends.

• 10+ years professional experience building complex, scalable web applications is essential.
• Proven hands-on experience designing, building, and operating solutions on cloud platforms, preferably Microsoft Azure, is essential.
• Quantitative or analytical background, with the ability to understand statistical, actuarial, or risk modelling concepts and collaborate effectively with quantitative modelling teams.
• Proficient understanding of Git and DevOps standards is essential.
• Thorough knowledge of Python and Docker is essential.
• Proficient in overall web development and web architecture.
• Experience working in environments involving statistical models, quantitative analytics, risk modelling platforms, or model execution frameworks is highly valued.
• Firm grasp of OOP, FP, and SOLID design principles.
• Experience working with SCRUM or other Agile methodologies.
• Several years in Financial Services industry, preferably Insurance/Reinsurance.
• Very good knowledge of English.
• Good communication skills with IT and Business.
• Fast learner.
• Team spirit.
• Good analytical skills.
• Interested in learning new technologies.
• Knowledge in building big data applications (e.g. Spark, Databricks) and experience using Databricks to support large-scale model execution and optimization is a strong advantage.
• Previous experience with .NET/C# is of advantage.

• Career growth actively supported through internal mobility, globally recognized certifications, and continuous professional development.
• Flexible work arrangements.
• Wellbeing initiatives to help you thrive personally and professionally.

SCOR is a leading global reinsurer offering diversified and innovative reinsurance and insurance solutions to control and manage risk. With expertise recognized worldwide, SCOR serves clients in around 160 countries, contributing to the welfare and resilience of society. The company culture, "The SCOR Way," is anchored by five core values: care, integrity, courage, open-mindedness, and collaboration. SCOR supports inclusion and diversity, and all positions are open to people with disabilities.

Work with some of the best minds in the industry, including actuaries, data scientists, underwriters, risk modelers, engineers, and quantitative developers, collaborating to find solutions to pressing challenges facing societies.