25 Moody's Analytics Jobs

At Moodys, 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.

Job Description - Sr Risk Consulting Associate - Analytical Services

The Analytical Data Services team provides an integrated suite of data and analytical services and solutions based on RMS catastrophe models, that global insurance and reinsurance clients rely on for making decisions on underwriting, portfolio management, capital management and risk transfer. The team works with exposure data of a majority of Fortune 500 corporate accounts, analyzing the quality of data, assessing clients exposure to catastrophic events, and providing insights on loss drivers and distributions, using RMS models. Analysts on the team specialize in data interpretation, data analytics, data quality, financial policy structures, and a deep understanding of sophisticated catastrophe models of perils including earthquake, hurricane, and terrorism.

As a Sr Risk Consulting Associate, you will be responsible for the quantification of catastrophe risk using a variety of databases and RMS models for a client portfolio. The person will be required to understand client requirements for exposure and loss analytics, configure an analytical solution, and report/ present results from the analysis to underwriting and catastrophe modeling teams at insurance/ reinsurance companies.

Key Accountabilities Deliverables

Provide high quality analysis of exposures and losses to enable business decisions at the client-end.
Understand the in-depth working of RMS models including database schema to conduct the appropriate analysis.
On hands experience in end-to-end account modelling and Portfolio/ Cedant analysis including exposure preparation and enrichment.
Assess the quality of input data and be able to highlight potential improvements.
Generate relevant insights from modeled results for an analytically sophisticated stakeholder group.
Support the client in understanding the analysis output and proving value-added observations and comparison summary.
Independently lead projects in terms of project delivery, value-addition, process optimization and client communication
Document all aspects of a project, particularly focusing on the rationale for decisions and exceptions.
Drive process improvements which increase utility or efficiency of analysis.
Mentor and train new risk analysts including performing need-based quality assurance of their work
Interface with RMS client development and other technical teams on client engagements.

Skills:

Strong analytical and problem-solving abilities.
Strong database and data mining skills - working knowledge of Excel, Access, and SQL; VBA or VB.Net is an added advantage.
Excellent written and verbal communication.
Team player
Mentoring and coaching skills.
Desirable - Knowledge of Python and R languages

Requirements:

Graduate from good colleges/university with excellent academic record
MBA Finance/Insurance/Operations Research or Masters in Mathematics/ Statistics/ Operations Research/Economics.
Preferred 3-6 years experience in risk/ business/ data analytics for PC insurance, reinsurance, or insurance linked securities.
Experience in mathematical or statistical application for RD, model development or solution design.
Hands-on experience with catastrophe risk models will be an added advantage.
Prior project / team management experience would be desirable.