Research Scientist

Overview

Location:

Hartford, San Francisco, or New York City

The Insure AI Underwriting team is an experienced business unit structuring risk-transfer solutions for corporates and start-up companies utilizing AI as part of their product, services, or processes. In particular, we seek to drive insurance for the uncertainty of machine learning model errors, including GenAI applications. Your focus will be on working with data science teams at corporates and start-ups to assess the quality of the implementation of the machine learning systems and estimate the probability of predictions falling short compared to the actual outcomes or quantify the hallucination rate of GenAI applications.

In addition, you will build relationships with leading research institutions in the area of statistics and computer science, contribute to the team’s research and academic publications, and you will keep the team up to date with the latest developments in the area of machine learning risk quantification, e.g. model error or hallucinations rate assessments, copyright infringement by GenAI models, and AI discrimination risk.

We are looking for a Research Scientist who combines a strong background in statistics or computer science with a business oriented mindset to develop financial solutions for AI risk and who will help us shape Munich Re’s future. The position can be based either in the Bay Area, or in New York City or Hartford, CT.

Responsibilities include:

• Work with data science teams at corporates and start-ups to assess the quality of ML system implementations and estimate the probability of predictions falling short or quantify hallucination rates of GenAI applications.
• Build relationships with leading research institutions in statistics and computer science; contribute to the team’s research and academic publications.
• Keep the team up to date with developments in machine learning risk quantification (model error, hallucinations, copyright infringement by GenAI, AI discrimination risk).
• Develop financial solutions for AI risk and help shape Munich Re’s future.
• Collaborate with cross-functional deal teams and stakeholders across time zones and regions.

• PhD degree in Statistics, Computer Science, Data Science or related fields
• Minimum of 5 years of relevant experience in a data scientist role with start-up companies or as part of a graduate degree in Statistics, Computer Science, Data Science or related fields

• Excellent understanding of modern machine learning and GenAI techniques, best practices in their implementation at scale and performance evaluation
• Excellent understanding of conformal prediction and other distribution-free uncertainty quantification approaches and their limitations
• Excellent networking and stakeholder management skills
• Excellent abstract reasoning and communication skills
• Ability to reduce complexity and communicate concisely the most important points of a deal opportunity to senior management

• Excellent project management skills
• Strong negotiation skills
• Strong ability to quickly understand new and complex business cases
• Good working proficiency in Python, or comparable programming languages
• Fluency in English is a must, fluency in German a plus
• Highly ambitious, entrepreneurial, and innovative mindset, curiosity and drive
• Didactic and intercultural competence
• Willingness to work in deal teams distributed across different time zones and continents
• Willingness to travel

At The Hartford Steam Boiler, a subsidiary of Munich Re, we see Diversity and Inclusion as a solution to the challenges and opportunities all around us. Our goal is to foster an inclusive culture and build a workforce that reflects the customers we serve and the communities in which we live and work. We strive to provide a workplace where all of our colleagues feel respected, valued and empowered to achieve their very best every day.

We recruit and develop talent with a focus on providing our customers the most innovative products and services.

We are an equal opportunity employer. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential…