Munich Re
Engineer, NA Integrated Analytics (2026 New Grad – New York)
Munich Re, New York, New York, us, 10261
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 APIs
Participate in all stages of the software development lifecycle including QA and testing
Data Engineering: Build and expand our ETL batch and streaming pipelining practices
Manage and secure relational databases for complex data relations
DevOps: Containerize and deploy production applications on our Kubernetes cluster
Define, create, and build our CI/CD pipeline practices
Provision and manage enterprise cloud infrastructure via Infrastructure as Code
Manage and improve our observability stack
Security: Integrate security into all stages of the engineering pipeline and employ a “security first” attitude
Understand and simplify our complex networking stance
Build data products with heavy reliance on cloud infrastructure
Incorporate Git, testing, CI/CD workflows and PRs into any coding project
Participate in various research projects in the field of machine learning and deep learning — collaborating with our greater team of scientists and engineers
Qualifications Technical:
Undergraduate or Graduate degree in Computer Science, Engineering, Physics, Bioinformatics — or equivalent program
Familiarity with Python / other object-oriented language and software testing libraries (unittest / mock)
Familiarity with web app development using Flask, SQL and FastAPI
Knowledge of relational database systems (RDMS) and data management
Working knowledge of Linux commands
Ability to perform version control using Git and submit well-structured Pull Requests (PR)
Experience in creatively and rapidly debugging for on-the-job issues
Behavioral:
Solid communication skills; spoken and written, formal/informal presentation
Able to learn quickly and independently and motivated to help others
Proven ability to thrive in a dynamic environment
Ability to independently research new tools and technologies
Preferred (but not required):
Familiarity with Azure or other cloud platforms and its related offerings
Exposure to authentication & authorization / networking / SQL ORM / PySpark / containerization / Kubernetes / Ansible / Terraform / Airflow / Databricks
Previous exposure to insurance or financial services environment
Note 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
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 APIs
Participate in all stages of the software development lifecycle including QA and testing
Data Engineering: Build and expand our ETL batch and streaming pipelining practices
Manage and secure relational databases for complex data relations
DevOps: Containerize and deploy production applications on our Kubernetes cluster
Define, create, and build our CI/CD pipeline practices
Provision and manage enterprise cloud infrastructure via Infrastructure as Code
Manage and improve our observability stack
Security: Integrate security into all stages of the engineering pipeline and employ a “security first” attitude
Understand and simplify our complex networking stance
Build data products with heavy reliance on cloud infrastructure
Incorporate Git, testing, CI/CD workflows and PRs into any coding project
Participate in various research projects in the field of machine learning and deep learning — collaborating with our greater team of scientists and engineers
Qualifications Technical:
Undergraduate or Graduate degree in Computer Science, Engineering, Physics, Bioinformatics — or equivalent program
Familiarity with Python / other object-oriented language and software testing libraries (unittest / mock)
Familiarity with web app development using Flask, SQL and FastAPI
Knowledge of relational database systems (RDMS) and data management
Working knowledge of Linux commands
Ability to perform version control using Git and submit well-structured Pull Requests (PR)
Experience in creatively and rapidly debugging for on-the-job issues
Behavioral:
Solid communication skills; spoken and written, formal/informal presentation
Able to learn quickly and independently and motivated to help others
Proven ability to thrive in a dynamic environment
Ability to independently research new tools and technologies
Preferred (but not required):
Familiarity with Azure or other cloud platforms and its related offerings
Exposure to authentication & authorization / networking / SQL ORM / PySpark / containerization / Kubernetes / Ansible / Terraform / Airflow / Databricks
Previous exposure to insurance or financial services environment
Note 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