Catastrophe Risk Tech Specialist — Python & ML

Howden; La France (SC); Presencial; USD 65.000 - 79.000; Tempo integral

Benefícios oferecidos por esta vaga

Medical Insurance

Dental Insurance

Vision Insurance

Paid Time Off (PTO)

401k with company match

Volunteer days

Resumo da vaga

Howden Re is seeking an associate catastrophe risk technical specialist to join the Modeling and Analytics team in Edina, Minnesota. You will lead Python-based application development, advance AI/ML initiatives, and collaborate across disciplines to strengthen client analytics capabilities.

The role emphasizes rapid development, clear stakeholder communication, and improving the quality of service delivered to clients, with a focus on innovative insurance analytics in a fast-paced environment.

Qualificações

• Bachelor’s or advanced degree in Mathematics, Statistics, Computer Science, Economics, Finance or similar analytical major.
• Proven experience in Python application development, with a focus on efficiency and innovation.
• Solid understanding of AI/ML methodologies and ability to develop, train, validate and deploy models, including LLM’s.
• Strong data manipulation, cleaning, and analysis skills.
• Effective communication, verbal and written, across disciplines.

Responsabilidades

• Python application development: lead in building and deploying Python-based apps.
• Enhance service quality for clients and stakeholders.
• Implement innovative solutions to boost operational efficiency and analytics.
• Rapid development and deployment in a fast-paced environment.
• Communicate sophisticated solutions clearly to diverse stakeholders.

Conhecimentos

Python

AI/ML

Data analysis

Communication

Formação

Bachelor's or advanced degree in Mathematics, Statistics, Computer Science, Economics, Finance or similar analytical major

Ferramentas

SQL

React.js

FastAPI

Descrição da vaga

Howden Re is seeking an associate catastrophe risk technical specialist to join the Modeling and Analytics team in Edina, Minnesota. You will lead Python-based application development, advance AI/ML initiatives, and collaborate across disciplines to strengthen client analytics capabilities.

The role emphasizes rapid development, clear stakeholder communication, and improving the quality of service delivered to clients, with a focus on innovative insurance analytics in a fast-paced environment.