Principal Software Engineer (Statistical Software for Catastrophe Risk Models)

At Cotality, we are driven by a single mission—to make the property industry faster, smarter, and more people-centric. Cotality is the trusted source for property intelligence, with unmatched precision, depth, breadth, and insights across the entire ecosystem. Our talented team of 5,000 employees globally uses our network, scale, connectivity and technology to drive the largest asset class in the world. Join us as we work toward our vision of fueling a thriving global property ecosystem and a more resilient society.

Cotality is committed to cultivating a diverse and inclusive work culture that inspires innovation and bold thinking; it's a place where you can collaborate, feel valued, develop skills and directly impact the real estate economy. We know our people are our greatest asset. At Cotality, you can be yourself, lift people up and make an impact. By putting clients first and continuously innovating, we're working together to set the pace for unlocking new possibilities that better serve the property industry.

Job Description:

As a member of Cotality''s Science and Analytics Catastrophe Risk Modeling group, your primary focus will be the end-to-end software development lifecycle for advanced catastrophe modeling applications. You will take the lead in designing, developing, coding, testing, debugging, deploying, and maintaining high-performance distributed catastrophe modeling software—encompassing risk models for events such as earthquakes, hurricanes, and wildfires. 

 

Collaboration with scientists and modelers will be essential as you translate complex scientific concepts into robust, production-ready code. You will be responsible for implementing and integrating analytical models with solution platforms and backend databases, ensuring both accuracy and scalability. This role demands proficiency in multiple programming languages and modern development tools, as well as a passion for continuously learning new technologies and best practices in software engineering. Whether working on-premises or deploying to the cloud, your expertise in software development will be at the core of Cotality's catastrophe risk solutions. 

Job Responsibilities: 

• Development and maintenance of software for simulating natural catastrophes as a part of the RQE platform (both hosted and SaaS) in mostly C++.

• Adapt and expand existing software to implement various product features in C++.

• Work closely with the scientists/modelers to code new models and improve existing models

• Monitor and report to management on the status of project efforts

• Anticipate/identify issues that inhibit the attainment of project goals, and implement corrective actions

• Foster and maintain good relationships with customers and other teams within Cotality to meet expected delivery dates and service levels

• Work with other engineering teams to integrate models into Cotality's products

Technologies:

• Cross-platform C++17, Python, boost, git, Windows and Linux, AWS and GCP, Visual Studio 2022, Visual Studio Code, CMake, Jenkins, Docker, gRPC

Job Qualifications:

• Bachelor’s degree in computer science plus a minimum of five years of experience, Master’s degree in Computer Science and minimum of three years of experience OR equivalent work experience

• 5 years of experience writing production software in C++

• Experience with C++14 or newer

• Experience with both Linux and Windows software development (UI is not required)

• Fundamental Python programming knowledge

• Solid analytical and problem-solving skills

Preferred Qualifications:

• Fundamental knowledge of natural hazard catastrophe models

• Fundamental knowledge of distributed computing

• Knowledge and experience with SQL and relational databases

• Knowledge of C++ standard library containers and algorithms

• Knowledge of CMake

• Working knowledge of one or more of Python/Go/Java/Rust/C#

• Basic experience with cloud (i.e. GCP, AWS, or Azure)

• Basic understanding of statistics

• Strong written and verbal communication skills

• Motivated, self-driven, and team player

#LI-Remote

Annual Pay Range:

135,300 - 182,600 USD

Application Window:

This oppo