Let's begin! Research Software Engineer (9153)

At Moodys we unite the brightest minds to turn todays risks into tomorrows opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they arewith the freedom to exchange ideas think innovatively and listen to each other and customers in meaningful ways.

If you are excited about this opportunity but do not meet every single requirement please apply! You still may be a great fit for this role or other open roles. We are seeking candidates who model our values: invest in every relationship lead with curiosity champion diverse perspectives turn inputs into actions and uphold trust through integrity.

Skills and Competencies

• HighPerformance Computing (HPC): Experience with highperformance computing environments and parallel computing techniques.
• Programming Proficiency: Proficient in Julia Programming Language with experience in scientific computing (Python R).
• Analytical Skills: Strong analytical and problemsolving skills with the ability to work independently and as part of a multidisciplinary team.
• Communication Skills: Excellent communication skills both written and verbal with the ability to convey complex technical concepts to nontechnical stakeholders.
• Adaptability: Willing to learn new technologies and capable of selfdirected learning.
• Team Collaboration: Works well in a fastpaced team environment; able to work under pressure to meet tight deadlines.

Education

• Required: Minimum Masters degree in Computer Science Engineering or a related STEM field.

Responsibilities

General Nature and Purpose of Job: Develop and optimize catastrophe models in Julia ensuring they are scalable efficient and reliable within an HPC environment.

Key Responsibilities:

• Model Development:
  • Develop and optimize catastrophe models in Julia ensuring they are scalable efficient and reliable within an HPC environment
  • Collaborate with cyber risk modelers to understand research objectives and translate them into highperformance computational models including feedback on requirements from a technical perspective and estimates for tasks
  • Implement and refine Monte Carlo simulation techniques to enhance model accuracy and performance
• Software Development Lifecycle:
  • Participate in the software development lifecycle from design and development to testing deployment and maintenance
  • Engage in code reviews and provide constructive feedback to team members
  • Maintain technical documents
• Continuous Learning:
  • Stay abreast of the latest developments in software engineering cybersecurity and risk modelling and incorporate best practices into projects

About the Team

Within the Model Development Department the Cyber Risk Modelling team is at the forefront of integrating the latest scientific results with insurance solutions specializing in developing stateoftheart catastrophe models to assess and quantify cyber risks. Our dedicated team of researchers and engineers collaborates in a hightech dynamic environment to pioneer tools and methodologies that shape the future of the insurance industry. We leverage cuttingedge technologies and computational techniques to better understand and model cyber threats ensuring our clients are wellprepared for the challenges of tomorrow

Moodys is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race color religion sex national origin disability protected veteran status sexual orientation gender expression gender identity or any other characteristic protected by law.

Candidates for Moodys Corporation may be asked to disclose securities holdings pursuant to Moodys Policy for Securities Trading and the requirements of the position. Employment is contingent upon compliance with the Policy including remediation of positions in those holdings as necessary.