Munich Re is one of the world’s leading reinsurance companies with approximately 45,000 employees in over 50 locations around the globe. We are looking to expand our diverse team of Data Scientists, Machine Learning Engineers, and Software Engineers as we take on and deploy more complex and larger projects. Headquartered in midtown New York City, our Integrated Analytics team operates as a start-up within the larger corporation; we are central to innovation and pioneering new technologies in the Life Insurance space. The goals of our department are to make buying insurance policies less invasive and easily accessible to more people.
We offer Engineers and Data Scientists a challenging work environment which champions high performance, professional development, and innovation. The Integrated Analytics department is looking for individuals who thrive in a collaborative and fast-paced working culture and who are eager to learn and grow from their peers. As a fast-growing startup within the Life and Health division, you will have broader responsibilities and development opportunities than a typical tech company from the bold vision and strong sponsorship of North America CEO Mary Forrest.
As a Data Scientist you will apply statistical techniques and machine learning to build solutions to core challenges in the life insurance industry. You will immerse in real-time business problems to deliver world-class, innovative solutions for our North American operations and clients. We see the use of data as instrumental in making it easier for people to buy life insurance and to expand the number of people insured.
Apply advanced statistical and machine learning techniques to build models for underwriting, experience studies, assumption development, pricing, and claims management.
Help us drive innovation by enabling new underwriting paradigms, distribution models, and data management.
Build and implement solutions that enable operational units to improve quality and speed of core processes in order to generate incremental revenue or reduce expense.
Proactively research new ways of modeling data to unlock actionable insights or improve processes.
Collaborate across Munich Re functions and with clients to use analytics to influence business decisions.
Work with existing data science groups at Munich Re and collaborate with internal partners to leverage capabilities in big data technology.
First and foremost, the successful candidate will demonstrate a natural desire to provide exceptional client service through his/her energy, enthusiasm and initiative.
In addition, we are looking for the following qualifications:
Undergraduate Degree in Computer Science, Engineering, Statistics, or Applied Mathematics, plus 3 years’ experience OR Graduate Degree in Computer Science, Engineering, Statistics, or Applied Mathematics, plus 1 years’ experience.
Insurance or financial services background is preferred but not required.
Actuarial examinations or designation is an asset but not required.
Expertise in advanced predictive analytic techniques.
Strong experience working with Python, or R; working knowledge of SQL (familiarity with multiple languages considered an asset).
Experience working with analytics through the modeling lifecycle including gathering data, design, recommendations, testing, implementation, communication, and retraining.
Familiarity with cloud computing platforms (ex. AWS, Microsoft Azure).
Familiarity with big data technologies (ex. Apache Spark, Hadoop, etc.), natural language processing and deep learning frameworks (ex. Tensorflow, Pytorch) is an asset but not required.
Excellent communication skills, effectively interpreting modeling results, distilling actionable insights and presenting them to partners.
The ability to learn quickly.
A drive to make a difference.
Thrive in a dynamic environment and successfully deliver on multiple assignments under deadlines.
Munich Re is one of the world’s leading reinsurance companies with approximately 45,000 employees in over 50 locations around the globe. As an industry leader, we provide a unique opportunity to be part of a global success story. We offer our employees a diverse and challenging work environment which champions high performance, professional development, innovation and passion; and rewards top performers with a highly competitive total rewards package.
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Munich Re Canada is committed to providing a work environment that is inclusive and free of employment barriers and discrimination. Accommodations will be made for qualified applicants with a disability throughout the recruitment process. If you receive a request for an interview and you have a disability which will require an accommodation to support your participation, please consult with Human Resources or contact AODARequestHR@munichre.ca as soon as practical so that suitable accommodations can be arranged.