Let's begin! Sr Risk Consulting Assc-MAI (9720)

At Moodys we unite the brightest minds to turn todays risks into tomorrows opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they arewith 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.

Skills and Competencies:

• Must have 3-6 years experience in risk/ business/ data analytics for P&C insurance reinsurance or insurance linked securities.
• Strong analytical and problem-solving abilities.
• Experience in mathematical or statistical application for R&D model development or solution design.
• Hands-on experience with catastrophe risk models will be an added advantage.
• Strong database and data mining skills - working knowledge of Excel Access and SQL; VBA or is an added advantage.
• Excellent written and verbal communication.
• Desirable Knowledge of Python and R languages

Education

• B.E / B. Tech (preferably Civil/Mechanical Engineering) from IIT/NIT or other reputed universities

OR

• MBA Finance/Insurance/Operations Research or masters in mathematics/ Statistics/Operations Research/Economics from top-tier universities.

Responsibilities

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.

About the team

Our Analytical Services team provides clients with advanced catastrophe insights and deliverables leveraging Moodys RMS models and programming tools.

Our department Analytical service aligns with Moodys Insurance segment object to grow by providing high quality deliverables and insights to the clients.

By joining our team you will be part of exciting work in Insurance domain specifically to the catastrophe modeling located in Noida India.

Moodys 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 Moodys Corporation may be asked to disclose securities holdings pursuant to Moodys 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.