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Sr Risk Consulting Assc-mai

4 weeks ago

Noida, Uttar Pradesh, India Moody's Full time

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 todayxe2x80x99s risks into tomorrowxe2x80x99s 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 - Sr Risk Consulting Associate - Analytical ServicesThe Analytical Data Services team provides an integrated suite of data and analytical services and solutions based on RMSxe2x80x99 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 clientsxe2x80x99 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 yearsxe2x80x99 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 Hands-on experience with catastrophe risk models will be an added advantage Prior project team management experience would be desirable Moodyxe2x80x99s 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 Moodyxe2x80x99s 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 Moody s