Risk Analytics Analyst

Company: RMS
Location: Newark
Posted on: June 19, 2022

Job Description:

DescriptionThe Position:The Risk Analytics team sits within RMS' broader Model Success organization which itself works for both internal and external clients, helping them to better understand, interpret and accept the output and workings of RMS models. Within Model Success, Risk Analytics focuses on enabling client confidence, acceptance and understanding of major models and/or major model updates via execution of a robust product acceptance testing (PAT) cycle. The team provides in-depth analysis of new and updated models, working closely with the Model Development and Model Product Management teams. We are a team of intellectually curious and results driven individuals whose projects require that we possess:

• Data analysis skills necessary to extract, organize, and visualize results from large datasets
• Catastrophe modeling and physical science knowledge needed to interpret results and understand what drives them
• Communication skills to explain key findings to audiences from a variety of backgroundsIf you enjoy a challenge and are looking to develop yourself across a broad set of skills in an exciting and interesting business, then this role is for you.The Person:
  • Someone who enjoys using their superior critical thinking, time management and planning skills as well as a keen attention to detail to take on new challenges and develop solutions for a variety of interesting projects
  • Someone who can effectively work independently but can also work collaboratively as a part of a multi-disciplinary team
  • Someone with strong interpersonal, communication, and presentation abilities who can communicate complex topics to audiences of varying technical backgrounds and business functions
  • Someone who wants to apply their technical background in physical science and/or coding to a variety of practical business applications
  • Someone who can comfortably and confidently handle occasional periods of highly time sensitive and business critical work Responsibilities:
    • Working with and learning from senior colleagues, develop broad knowledge of RMS catastrophe models; grasp the fundamental science and methodological philosophies underpinning the models and learn to apply this knowledge to interpreting model output and behavior. Eventually look to use these skills to lead projects on your own.
    • Use relevant analytics experience with an understanding of the models to develop, implement, and refine the analytics suite, enabling greater efficiencies and capabilities throughout the team.
    • Present to internal and external parties such as RMS Model Development and Product Management team members to summarize and contextualize key findings from analytics that you create. Additionally, be able to provide a non-technical summary explaining the results and/or the algorithm used to create said results.
    • Work with colleagues across the wider Model Success team to learn about RMS' customers and how/why they use RMS models.Experience Required:
      • 2-3 years catastrophe modeling or related professional experience
      • Possess a BS/MS/PhD in one of the following disciplines or a related field:
      • Meteorology, Atmospheric Physics
      • Hydrology
      • Geology, Geophysics
      • Chemistry, Biology
      • Seismology
      • Forestry
      • Mathematics
      • Computer Science
      • Proficient with one or more coding languages (R, Python, etc)
      • Experience using computer code and other data mining tools to pull relevant information out of large datasets
      • Possess excellent time management, communication (written and verbal), problem solving and troubleshooting skill sets
      • Be self-driven and able to perform well within cross-functional, multi-organizational, and virtual teamsDesirable:
        • Experience using version control software such as GitHub
        • Experience using Microsoft SQL Server or similar database management tools
        • Experience working with large, complex datasetsABOUT RMS:
          • Risk Management Solutions, Inc. (RMS) models and solutions help insurers, financial markets, corporations, and public agencies evaluate and manage global risk throughout the world. RMS has some 1,300 employees across 13 offices in the US, London, Bermuda, Zurich, India, China, Japan, Singapore, and Australia, with products and models covering six continents.
          • We lead an industry that we helped to pioneer-catastrophe risk modeling - and continue to innovate. In May 2019, we announced the launch of RMS Risk Intelligence--- (RI), an open, flexible and future-proof platform for strategic risk management. Through this purpose-built platform, clients can tap into RMS HD models, rich data layers, intuitive applications and APIs that simply integrate into existing enterprise systems to support business decisions across underwriting, risk selection, mitigation and portfolio management.
          • Insurers, reinsurers, trading companies, and other financial institutions trust RMS solutions to better understand and manage the risks of natural and human-made catastrophes, including hurricanes, earthquakes, floods, terrorism, and pandemics.
          • Visit comto learn more and follow us on LinkedIn and Twitter.
          • RMS is proud to be an equal opportunity workplace. We are committed to equal employment opportunity without regard to race, color, creed, gender, religion, marital status, registered domestic partner status, age, national origin or ancestry, physical or mental disability, genetic characteristics, sexual orientation, or any other classification protected by applicable local, state, or federal law.
          • RMS is a Moody's company, and as such you must be fully vaccinated for COVID-19 (i.e., at least 2 weeks after last dose) and, if hired, present proof of vaccination on start date, as determined by Moody's.
          • 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 an accommodation, or need assistance with completing the application process, please email accomodations@moodys.com.
          • To all recruitment agencies: RMS does not accept unsolicited agency resumes and will not be responsible for the payment of placement fees related to unsolicited resumes submitted to open positions, job aliases, or to our employees.

Keywords: RMS, Newark , Risk Analytics Analyst, Professions , Newark, California