Job Description

Location(s):

7575 Gateway Blvd., Suite 300, Newark, California, 94560, US

Line Of Business: RMS(RMS)

Job Category:

Engineering & Technology

Experience Level: Experienced Hire

Moody’s Insurance Solutions is looking for software engineers who are excited and passionate
about tackling complex challenges in processing large amounts of data within the context of a
highly analytical, model-based computation framework. We are looking to solve incredibly
challenging business and science real-world problems that will have an impact.

In the Model Platform team, you will contribute to platform and engines which utilize large scale
distributed data processing technology to deliver highly scalable, elastic, and cloud-based SaaS
solutions for risk analyses.

What You'll Be Doing:

Design, develop and maintain high-performance risk analytics services, engines and software infrastructure using C#Translate design inputs into development work items Create software design documentsCollaborate with fellow engineers, Product/Project Managers and Quality Assurance to develop multi-tier application framework and components

Required experience and skills:

Programming experience with C#, C++, or Java including Object Oriented DesignStrong skills in analytic computing and algorithmsPassion for finding and solving hard problemsExcellent communication skillsAbility to work independently with hybrid/remote teamMaster of Science in Computer Science or related fields, or alternatively bachelor’s degree with 2+ years of non-internship industry experience.

Desirable experience and skills:

Experience in distributed or parallel computingCompetence in software design using class templates or genericsExposure to architectural patterns of large scale software applicationsUnderstanding of Rust, Go, or other compiled languagesKnowledge of Python, JavaScript, or other high-level scripting languagesFamiliarity with relational and big data technologies, batching systems, Terraform, and DockerStrong mathematical background, including statistics and numerical analysisAwareness of probabilistic and stochastic computational techniquesExperience with data access and computing in highly distributed cloud systems, preferably AWSBackground in working with complex software systems that have successfully been delivered to customers