Senior Software & Platform Engineer – Risk Modeling Platform

About Us

As a leading global reinsurer, SCOR offers its clients a diversified and innovative range of reinsurance and insurance solutions and services to control and manage risk. Applying “The Art & Science of Risk,” SCOR uses its industry-recognized expertise and cutting-edge financial solutions to serve its clients and contribute to the welfare and resilience of society in around 160 countries worldwide. Working at SCOR means engaging with some of the best minds in the industry – actuaries, data scientists, underwriters, risk modelers, engineers, and many others – as we work together to find solutions to pressing challenges facing societies. As an international company, our common culture is defined by “The SCOR Way.” Serving both to build momentum that drives the Group forward and as a compass to guide our actions and choices, The SCOR Way is anchored by five core values, reflecting the input of employees at all levels of the Group. We care about clients, people, and societies. We perform with integrity. We act with courage. We encourage open minds. And we thrive through collaboration. SCOR supports inclusion and the diversity of talents, and all positions are open to people with disabilities.

Responsibilities

Design, efficient, testable, reusable, and reliable code in Python, Docker on a web platform Implementation and enhancement of the Front end and Back end of applications responsible for task orchestration Implementation and design of the solution 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, and help actuaries optimize models and algorithms Working on solutions which uses Linux, Docker, DataBricks, JupyterHub, Postgres, … Closely work together with IT Technical team to handle automation, incidents, and 3rd level support Integration of user-facing elements with server-side logic Work collaboratively in architecting/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 Working with the team of very skilled Quantitative Developers Stay abreast of emerging technologies/industry trends

Qualifications

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 & 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

Fähigkeiten

PythonDockerICTMicrosoft AzureLinuxPostgresGitSpark.NETC#

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