Asst Dir-Risk Management

At Moody's, 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. 

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 an Assistant Director,Risk Managament, you will be required to lead client-facing risk analytics projects involving requirements scoping, design of reports, data preparation and modelling, and presentation of results. Having lead a data preparation team (fully or partially) is a good add-on skill. You must exhibit excellent communication and presentation skills and are willing to work in a global, matrix environment. As a technical expert, we expect you to display strong problem-solving skills, help groom and build stronger technical and business understanding on the larger team.

Key Accountabilities & Deliverables

• Exhibit in-depth knowledge of RMS models (model methodology, schema)
• Hands-on end-to-end account modeler and can perform Portfolio/ Cedant analysis, understanding exposure preparation and enrichment is a big plus
• Provide high quality exposure and loss analysis, build relevant insights to enable swift business decisions at the client-end.
• Assess input data quality and highlight potential improvements to client along with impact of data fallacy/inadequacies.
• 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.
• Own project compliance by ensuring processes, guidelines and SOPs is followed
• Manage client escalations, minimize potential issues
• Ensure continual improvement through efficiency improvement through process reengineering or automation ideas
• Manage high performing assets, groom process champions
• Support client onboarding from Transition to "Business-As-Usual" phase by collaborating with other RMS teams.
• Interface with RMS client development and other technical teams on client engagements.
• Support vertical head and new opportunities team for developing new service lines.

Skills:

• Strong analytical and problem-solving abilities.
• Strong database and data mining skills - Good knowledge of Excel, Access, and SQL
• Excellent written and verbal communication.
• Collaborative and stakeholder management

Requirements:

• B.E / B. Tech (preferably Civil/Mechanical Engineering) from IIT/NIT or other reputed universities OR MBA Finance/Insurance/Operations Research or master’s in mathematics/ Statistics/Operations Research/Economics from top-tier universities.
• 6+ years’ experience in risk/ business/ data analytics for P&C insurance, reinsurance, or insurance linked securities.
• Experience in mathematical or statistical application for R&D, model development or solution design.
• Extensive experience on catastrophe risk models.
• Preferred - Knowledge of R, Python and Power BI

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.