Asst Dir-Risk Management

Moody's is a developmental culture where we value candidates who are willing to grow. So, if you are excited about this opportunity but don't meet every single requirement, please apply! You may be a perfect fit for this role or other open roles.

Moody's is a global integrated risk assessment firm that empowers organizations to make better decisions.

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Job Description - Assistant Director,Risk Managament

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 modeller 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.
7+ 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, sex, gender, age, religion, national origin, citizen status, marital status, physical or mental disability, military or veteran status, sexual orientation, gender identity, gender expression, genetic information, or any other characteristic protected by law.