Asst Dir-risk Management

Elixir Business Park Plot 15A 5th - 8th Floor Noida Uttar Pradesh 201301 IN Line Of Business RMS RMS Job Category ESG Analytics Data Research Experience Level Experienced HireAt Moody s 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 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 a Asst Dir - Risk Management 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 from reputed universities Colleges OR MBA Finance Insurance Operations Research or masters in mathematics Statistics Operations Research Economics from top-tier universities 8 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 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 Moody s 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