Job Description

Deputy Manager
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 Deputy Manager, 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 5% resources release through introducing efficiency
• Manage high performing assets, groom process champions
• Coach senior resources on team to independently lead projects/processes.
• Mentor and train new /lateral hires both within team and outside immediate team
• 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.
• Team player
• Strong Team management and motivation skills
• Mentoring and coaching skills.

Requirements:

• 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.
• 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.
• Proven project / team management experience.

About RMS There’s a 1% chance an earthquake will cause $50 billion of insured loss within the next 12 months and a 5% chance that a hurricane will cause $60 billion of insured losses next year. At RMS, we turn risks into real numbers. How? By building simulation models that allow insurers and investors to understand and manage their global risks-from hurricanes, quakes, and wildfires, to cyberattacks, terror attacks, and pandemics. Why? We want to build a more resilient world, and we’re on a mission to help make every risk known. Insurers, reinsurers, investors, financial institutions, governments, and NGOs trust RMS solutions to better understand and manage catastrophe risks. RMS was founded in 1989 by Stanford scientists who created our first model for California Earthquake. Today, RMS has some 1,300 employees across 13 offices in the US, London, Bermuda, Zurich, India, China, Japan, Singapore, and Australia, and over 1000 products and models now covering six continents. RMS helped pioneer the natural catastrophe model market we now lead – and we continue to innovate. In May 2019, we announced RMS Risk Intelligence™ (RI), an open-standard platform for strategic risk management. Through this purpose-built platform, clients can tap into RMS HD models, rich data layers, intuitive applications and APIs that simply integrate into existing enterprise systems to support business decisions across underwriting, risk selection, mitigation, and portfolio management. How we understand and manage risk affects everyone and our passion is nothing less than creating a more resilient world through a better understanding of catastrophic events. Join our team of leading scientists, developers, industry experts, and world-class professionals. Together, RMSers make a difference on a truly global scale. Visit RMS.com to learn more and follow us on LinkedIn and Twitter. RMS is proud to be an equal opportunity workplace. We are committed to equal employment opportunity without regard to race, color, creed, gender, religion, marital status, registered domestic partner status, age, national origin or ancestry, physical or mental disability, genetic characteristics, sexual orientation, or any other classification protected by applicable local, state, or federal law. To all recruitment agencies: RMS does not accept unsolicited agency resumes and will not be responsible for the payment of placement fees related to unsolicited resumes submitted to open positions, job aliases, or to our employees.