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Senior Software & Platform Engineer – Risk Modeling Platform
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Contribute to the future integration of the Risk Modeling Platform with strategic data platforms, working closely with modelling, data integration, architecture…
1 h
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You will work closely with client delivery teams, product engineering, and commercial stakeholders to standardize best practices, improve delivery efficiency,…
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Senior Software & Platform Engineer – Risk Modeling Platform

SCOR -
Zürich, ZH

Soumettre votre candidature

Détails de l'emploi

Il y a 1 heure

Qualifications

C#
Spark
Git
Anglais
.NET
Esprit d'analyse
Docker
PostgreSQL
Scrum
Technologies de l'information
Linux
Compétences en communication
Python

Description complète du poste

Not 100% qualified? Apply anyway.
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
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

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.

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