RMS Hiring Solution Modeler | MTech / MS | Noida

RMS is hiring for Solution Modeler Candidate having MS degree in an engineering or science related field can apply for the profile. The eligibility criteria and application process are mentioned below.


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RMS Hiring Solution Modeler | MTech / MS | Noida

About RMS:

For over 30 years, RMS has led the catastrophe risk industry, we helped to pioneer, marrying advanced science with technology to make every risk known. Company build comprehensive risk models, software, SaaS technology, cloud-based applications, and APIs to help insurers, financial markets, corporations, and public agencies evaluate and manage global risk.

RMS Hiring Modeler- Details:

Company Name:


Company Website:


Job Role:


Job Location:

Noida, India


6+ years


MTech / MS










Job Description:

The company is seeking a Modeler to join our liability data modeling and analytics team. The team focuses on developing products related to insured property exposures, data, and related applications. Such products are an important part of RMS product line and provide a wealth of valuable information for our clients.


The candidate will be working in a multidisciplinary environment developing, designing, and implementing a wide range of data products and solutions used in catastrophe risk modeling, valuation modeling and Property & Casualty data quality assessment and enhancement. The candidate will be expected to gain and further utilize an in-depth knowledge of the products and relevant technologies.


Job Responsibilities:

- Research and development of insurance data products for emerging risks such as Liability lines, Marine cargo, Climate change etc. Draw meaningful insights and inferences based on various white and research papers on different insurance domains, available online.

- Developing, evaluating, and implementing methodologies and solutions for parameters/tasks related to liability incident database and other data products.

- Should be able to automate various processes on regular basis using Python/R/VBA etc.

- Provide professional skills necessary for all phases of data analysis, including the application of standard statistical methods for conducting analysis, QA/QC/, documentation and presentation.

- Communicates analytical insights through sophisticated synthesis and packaging of results (Including PPT slides and charts)

- Establishes credibility by thought partnering on analytics topics; takes positions and draws conclusions on a range of external and internal issue

- Serve as an active participant on cross-functional projects, interpreting data, and translating into actionable insights, provide support on ad-hoc analysis and reports.


Experience Required:

- MS degree in an engineering or science related field including but not limited to: Financial Engineering, Operations Research, Applied Mathematics, Econometrics and Statistics, Actuarial sciences and

- 6+ years of hands-on experience in similar roles

- Programming skills in Python or R or similar with demonstrated experience of automation.

- Data manipulation tools (SQL, Microsoft Office); VBA and Netis an added advantage along with high level of expertise in Excel.

- Excellent written/documentation and verbal skills, as evidenced by white papers or technical presentations at meetings and conferences.

- Analytical and innovative thinking and problem-solving skills.


Added Advantage:

- Knowledge of GIS maps preferred, including experience with ARCGIS

- Experience in one or more of the following would be useful: data mining, text mining, machine learning, data analytics, developing statistical models

- Understanding of law and court documents


Other Skills:

- Detail-oriented, self-driven quick learner with very strong analytical and problem-solving skills, and a high degree of self-motivation

- Ability to independently drive projects and demonstrate technical leadership

Apply Here




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RMS Hiring Solution Modeler | MTech / MS | Noida RMS Hiring Solution Modeler | MTech / MS | Noida Reviewed by Jobs Barrel on December 06, 2020 Rating: 5

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