Senior Software & Platform Engineer - Risk Modeling Platform

SCOR; Zürich; Vor Ort; CHF 140.000 - 190.000; Vollzeit

Zusammenfassung

SCOR seeks a Senior Software & Platform Engineer to join its risk modelling platform team in Zürich. You will craft end-to-end software across Python, cloud, and DevOps, understanding infrastructure and data flows while enabling scalable model execution.

You will collaborate with actuaries, data engineers, and developers to advance the platform, integrate with strategic data tools, and push for continuous improvement with modern tech like Databricks and containers.

Qualifikationen

• 10+ years of experience building complex, scalable web applications.
• Proven hands-on experience designing and operating solutions on cloud platforms, preferably Azure.
• Quantitative or analytical background with risk modelling concepts.
• Proficient understanding of Git and DevOps standards.
• Thorough knowledge of Python and Docker.
• Experience with web development and architecture.

Aufgaben

• Design, efficient, testable, reusable, Python code for a web platform with Docker.
• Develop front-end and back-end for task orchestration and cloud-based solutions.
• Build and deploy solutions on Microsoft Azure and manage data workflows.
• Support statistical modelling and model execution frameworks for large-scale computations.
• Collaborate with IT, data teams, and quantitative developers to translate needs into robust solutions.

Kenntnisse

Python

Docker

Azure

DevOps

Data modeling

Git

Tools

Databricks

JupyterHub

Postgres

.NET/C#

Spark

Jobbeschreibung

At SCOR, we combine the Art and Science of risk to help build more resilient societies. Technology is a vital resource and partner in every step of our journey. We are seeking innovators to join our dynamic tech team of over 230 professionals across three global hubs. Guided by our corporate values-Collaboration, Courage, Care, Open-Mindedness, and Integrity-our teams develop technology that insures the world. Join us and make a difference!

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.

Research shows that women and underrepresented groups often apply only when they meet every requirement. If that sounds like you, we encourage you to rethink it-your unique perspective matters. We're excited to hear from you!

At our brand-new Shared Business Platform (SBP) in Bucharest, we offer a dynamic environment where career growth is actively supported through internal mobility, globally recognized certifications, and continuous professional development. We value work-life balance, offering flexible work arrangements, and wellbeing initiatives that help you thrive both personally and professionally.

Now, let's explore this exciting opportunity so that you can be part of our mission.

We are seeking a Senior Software & Platform Engineer - Risk Modeling Platform to join our dynamic Tech team. This is a senior hands-on engineering role focused on software development, Python, cloud, DevOps, and full-stack platform understanding. The role requires the ability to understand the end-to-end platform setup, including infrastructure, cloud deployment, data flows, operational support, and model execution workflows.

The candidate will work across modelling constraints, data integration requirements, and application development, supporting complex risk modelling workflows and contributing to the future integration of the Risk Modeling Platform with strategic data platforms.

Key duties and 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

Required experience & competencies

• 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
• 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