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Software Engineer

4 months ago

Independence, United States Moody's Full time
Job Description

Experience Level: Experienced Hire

Categories:

  • Engineering & Technology

Location(s):

  • 405 Howard Street, Suite 300, San Francisco, California, 94105, US
  • 7575 Gateway Blvd., Suite 300, Newark, California, 94560, US
  • Remote - United States, US
  • Remote - United States, US
  • Remote - United States, US

At Moody's, we unite the brightest minds to turn today’s risks into tomorrow’s opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they are-with 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.

The Role / Responsibilities:

Responsible for developing methodology and peril engine software development to support delivering complex science-based models for different perils (i.e., earthquake, hurricane, flood, SCS, climate change models, etc.) and emerging risks, including Cyber, Terrorism and LifeRisks models. The role requires an in-depth understanding of numerical and mathematical modeling and software development to support simulation (HD models) framework and closed-form solutions (DLM) to deliver the models to Moody’s RMS clients through SaaS or/and on-prem solutions.

The role includes focusing on developing and enhancing the methodology of the high-definition (HD) model frameworks for all peril models for the SaaS solution, improving the performance to minimize the runtime, which results in cloud cost savings. That includes exposure disaggregation, aggregate hazard development, temporal simulation of events, sampling, as well as collaborating with other teams to bring new features to the software that enables new modeling capabilities.

The peril engines team role includes implementing the latest model science and data through close collaboration with the Model Dev leads, Software, and Product teams for end-to-end development and integration to Risk Intelligent SaaS Platform or/and on-prem solutions. The models range from cat models (like earthquake, flood, and wind) to non-cat models (like cyber, terrorism, agriculture) and climate change models. There are also ancillary products delivered as data layers, which are analyzed and processed in this team and packaged through different SaaS product offerings of Moody’s RMS for clients looking to get insight into individual locations through LI (location intelligence) services.

Responsibilities:

  • Develop and enhance the HD framework used in cat and non-cat models that are delivered through SaaS offering with superior performance

  • Collaborate with product team to design new products tailored toward clients’ needs.

  • Collaborate with model development teams to integrate the science, methodology and data of their models into HD framework

  • Collaborate with the software organization to seamlessly integrate model engines into platform

  • Drive the creation of data layers tailored for various products that delivers insight to clients through location intelligence services

  • Provide leadership in addressing customer inquiries related to HD methodology and offer live site support to ensure continuous and reliable model operation.

Qualifications:

  • 5+ years of scientific programming experience, mathematical and analytical modeling, and risk modeling experience.

  • Strategic thinker with a track record of driving innovation and transforming ideas into successful products.

  • Experience with programming languages such as C#, C++ and JAVA

  • Experience with statistical analysis and programming tools such as "R", Python or equivalent. Strong mathematical foundation with particular focus in numerical modeling of complex problems

  • Experience with big data technologies and analytic methods applied in the discipline of "data science".

  • Demonstrated ability and proven experience managing and motivating talented research professionals and collaborating with other interested constituents.

  • Strong orientation towards working in teams in a collaborative spirit.

  • Outstanding communication skills - ability to explain complex ideas to a range of audiences.

  • Masters or Ph.D. in engineering with strong mathematics, statistic, and programming skills

For US-based roles only: the anticipated hiring base salary range for this position is [[$160k - [[$212k, depending on factors such as experience, education, level, skills, and location. This range is based on a full-time position. In addition to base salary, this role is eligible for incentive compensation. Moody’s also offers a competitive benefits package, including not but limited to medical, dental, vision, parental leave, paid time off, a 401(k) plan with employee and company contribution opportunities, life, disability, and accident insurance, a discounted employee stock purchase plan, and tuition reimbursement.

Moody’s is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, sex, gender, age, religion, national origin, citizen status, marital status, physical or mental disability, military or veteran status, sexual orientation, gender identity, gender expression, genetic information, or any other characteristic protected by law. Moody’s also provides reasonable accommodation to qualified individuals with disabilities or based on a sincerely held religious belief in accordance with applicable laws. If you need to inquire about a reasonable accommodation, or need assistance with completing the application process, please email accommodations@moodys.com. This contact information is for accommodation requests only, and cannot be used to inquire about the status of applications.

For San Francisco positions, qualified applicants with criminal histories will be considered for employment consistent with the requirements of the San Francisco Fair Chance Ordinance.

This position may be considered a promotional opportunity, pursuant to the Colorado Equal Pay for Equal Work Act.

Click here to view our full EEO policy statement. Click here for more information on your EEO rights under the law. Click here to view our Pay Transparency Nondiscrimination statement. Click here to view our Notice to New York City Applicants.
Candidates for Moody's Corporation may be asked to disclose securities holdings pursuant to Moody’s 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.

For more information on the Securities Trading Program, please refer to the STP Quick Reference guide on ComplianceNet

Please note: STP categories are assigned by the hiring teams and are subject to change over the course of an employee’s tenure with Moody’s.