Overview
Munich Re, Canada (Life) – Location New York, United States
POSITION : Engineer, NA Integrated Analytics (2026 New Grad – New York)
LOCATION : New York, NY
ANTICIPATED START DATE : 2026 (upon graduation)
Together, we engage with everything we have and are, to help humankind act braver and better. As the world's leading reinsurance company with more than 40,000 employees in over 50 locations around the globe, Munich Re introduces a paradigm shift in the way you think about insurance. By turning uncertainty into manageable risk, we enable fundamental change. We recognize Diversity, Inclusion, and Belonging as a key priority with a culture that welcomes different thoughts and opinions. We dare to think big and are continuously innovating on behalf of our clients. How can ML promote longer and healthier lives? Armed with decades of risk data, novel data sources, and a team of innovative data scientists, engineers, and domain experts, Munich RE is building solutions that are transforming the life insurance industry.
- Develop solutions that allow easier access to insurance and healthier lifestyles
- Build highly scalable products with best security, ML, DevOps practices
- Research bias and fairness, disease models, NLP & more
- Discover diverse careers with leadership opportunities
- Flexible remote / in-person work focus on work-life balance
- Be part of a fast-growing team that values transparency & diversity
Responsibilities
Contribute to various on-the-go projects, related to the following areas of concentration :Software Engineering : Create, test and support the development of Python based applications and predictive models deployed as RESTful microservices APIsParticipate in all stages of the software development lifecycle including QA and testingData Engineering : Build and expand our ETL batch and streaming pipelining practicesManage and secure relational databases for complex data relationsDevOps : Containerize and deploy production applications on our Kubernetes clusterDefine, create, and build our CI / CD pipeline practicesProvision and manage enterprise cloud infrastructure via Infrastructure as CodeManage and improve our observability stackSecurity : Integrate security into all stages of the engineering pipeline and employ a "security first" attitudeUnderstand and simplify our complex networking stanceBuild data products with heavy reliance on cloud infrastructureIncorporate Git, testing, CI / CD workflows and PRs into any coding projectParticipate in various research projects in the field of machine learning and deep learning — collaborating with our greater team of scientists and engineersQualifications
Technical :
Undergraduate or Graduate degree in Computer Science, Engineering, Physics, Bioinformatics — or equivalent programFamiliarity with Python / other object-oriented language and software testing libraries (unittest / mock)Familiarity with web app development using Flask, SQL and FastAPIKnowledge of relational database systems (RDMS) and data managementWorking knowledge of Linux commandsAbility to perform version control using Git and submit well-structured Pull Requests (PR)Experience in creatively and rapidly debugging for on-the-job issuesBehavioral :
Solid communication skills; spoken and written, formal / informal presentationAble to learn quickly and independently and motivated to help othersProven ability to thrive in a dynamic environmentAbility to independently research new tools and technologiesPreferred (but not required) :
Familiarity with Azure or other cloud platforms and its related offeringsExposure to authentication & authorization / networking / SQL ORM / PySpark / containerization / Kubernetes / Ansible / Terraform / Airflow / DatabricksPrevious exposure to insurance or financial services environmentNote that this opportunity is open to both graduating students, as well as recent graduates who have obtained their degree within the past year.
J-18808-Ljbffr