Analyst, Customer Success – Moody’s RMS Graduate Program

RMS

May 29, 2023

Applications are closed

Job
Full-time
Starts on Sep 03
Entry Level
Data
London

Requirements

Our graduates all demonstrate exceptional potential to thrive in an environment which demands strong teamwork, technical aptitude, and dedication to our clients and their needs. As a Customer Success graduate, you:
Put others first. You are motivated by the desire to help other people succeed.
Enjoy solving problems. You relish the challenge of solving analytical and technical problems with and for other people.
Are driven to achieve great outcomes. You prioritize what is of greatest impact and understand when a job is done.
Are a strong communicator. You communicate effectively verbally, in writing, and in presentations.
Make the complex simple. You articulate technical or scientific concepts clearly to varied audiences.
Love to learn. You demonstrate a constant desire and broad capacity to learn new skills and concepts.
Want to play your part. You have an interest in the role of science and technology in understanding and managing the natural and man-made risks facing society.
Required Qualifications:
BS or MS degree in any of the following disciplines or related fields:
Mathematics, engineering, physics, statistics, economics
Earth or climate sciences (including geology, geophysics, seismology, meteorology)
Computer sciences, software, IT
Risk management, insurance
Fluency in spoken and written English

Responsibilities

While on rotation, you’ll be supported by your host team and a dedicated mentor. Your focus will vary across each of your rotations, but every rotation will increase your knowledge of our products, the companies who use them, and the industries managing catastrophe risk.
You’ll play an active role in delivering our services, content, and programs, working directly with clients and internally across multiple teams.
Your work will span our products and the markets we serve. You’ll develop technical knowledge, enhance your problem[1]solving skills, and cultivate the communication skills required to advise clients with confidence.
Example rotations include providing model and software support, building bespoke tools and applications, joining account teams to engage as strategic client advisors, assessment of business best practices, and developing training content and user documentation.
After completing rotations in up to five teams, you’ll move into your first permanent role in January 2025. Most of our graduates hold this first role for 2-3 years, after which we’ll support you in growing your career in a direction that matches your ambitions. Our team today has more employees who joined us as graduates than by other routes. We have experienced analysts, leads, principals, directors, and vice-presidents all who started off with us as graduates and have brought their skills to numerous role and teams over time.

RMS

Technology

Industry

1001-5000

Employees

1988

Founded Year

Mission & Purpose

For over 30 years, Risk Management Solutions (RMS), a Moody's Analytics company, has helped to pioneer the catastrophe risk industry. RMS models underlie the nearly US$2 trillion Property & Casualty industry and many insurers, reinsurers, and brokers around the world rely on RMS model science. We continue to lead in innovation by combining advanced science with technology. We build comprehensive risk models, software, SaaS technology, cloud-based applications, and APIs to help insurers, reinsurers, financial services organizations, and the public sector outperform by evaluating, and managing global risk. Leaders across multiple industries can address the risks of tomorrow through RMS Risk Intelligence™ (RI)—our open, unified cloud platform for global risk—enabling them to tap into RMS HD models, rich data layers, intuitive applications, and APIs. Further supporting the industry's transition to modern risk management, RMS spearheaded the Risk Data Open Standard (RDOS), a modern, open-standard data schema designed to be an extensible, flexible, and future-proof asset within modeling/analysis systems.