Moody's is a developmental culture where we value candidates who are willing to grow. So, if you are excited about this opportunity but don't meet every single requirement, please apply! You may be a perfect fit for this role or other open roles.

　　Moody's is a global integrated risk assessment firm that empowers organizations to make better decisions.

　　At Moody's, we're taking action. We're hiring diverse talent and providing underrepresented groups with equitable opportunities in their careers. We're educating, empowering and elevating our people, and creating a workplace where each person can be their true selves, reach their full potential and thrive on every level. Learn more about our DE&I initiatives, employee development programs and view our annual DE&I Report at moodys.com/diversity

　　We are seeking Analytics & Modeling Analyst to join our Data Analytics and Solutions team. The team focuses on developing products related to insured property exposures, data, and related applications. Such products are an important part of RMS product line and provide a wealth of valuable information for our clients.

　　The candidate will be working in a multidisciplinary environment developing, designing and implementing a wide range of data products and solutions used in catastrophe risk modeling, valuation modeling and Property & Casualty data quality assessment and enhancement. The candidate will be expected to gain and further utilize an in-depth knowledge of the products and relevant technologies.

　　The incumbent of this role will be primarily responsible for technically leading and working hands-on on modeling project in the team and guiding other members working on these. Including but not limited to:

　　Executing model testing and implementationDeveloping model-derived layers for RMS data products using RiskLink and Risk ModelerProductizing ALM profiles for RiskLink and HD modelsDeveloping and executing methodology for data quality scoring and benchmarking of client coded exposure for all modelled regions and perils.Working closely with product managers and core modeling and software teams to develop specifications and prototypes for integrating data quality solutions with RMS platform.

　　Requirements:

　　MS degree in an engineering or science related field including but not limited to: Financial Engineering, Operations Research, Applied Mathematics, Econometrics and Statistics6 - 8+ years of hands-on experience in similar rolesIn-depth knowledge of catastrophe models and methodologies preferably acquired in model testing or implementation role.Programming skills in Python or R or similar with demonstrated experience of automation.Proficiency in MS SQLExcellent written and verbal skills, as evidenced by white papers or technical presentations at meetings and conferences.

　　Added Advantage:

　　Knowledge of GIS preferred, including experience with ARCGIS or QGIS.Experience in one or more of the following would be useful: data mining, data analytics, developing statistical models.

　　Other Skills:

　　Detail-oriented, self-driven quick learner with very strong analytical and problem-solving skills, and a high degree of self-motivation.Ability to independently lead, manage and drive projects.

　　Moody's 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 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.