Manager, Analytics
Risk Management Solutions Inc.
Noida/Greater Noida, INDIA
3d ago
source : TimesJobs

Department Data Analytics and Solutions, Model Development RMS is the world's leading provider of analytics and decision science solutions for the quantification and management of catastrophic risks throughout the world.

RMS models and services are used by hundreds of insurance and reinsurance companies, hedge funds, corporations, and governments to assess a wide range of natural and man-made perils, from earthquakes and hurricanes to terrorism and disease pandemic.

Job description We are seeking a data scientist to join our Data Analytics and Solutions team in the Model Development group.

The team primarily focuses on modeling and developing data and applications related to insured property exposures. Such products are an important part of RMS product line and provide a wealth of valuable information for our clients.

The candidate would be engaged in the development, design and implementation of a wide range of data products used in catastrophe risk modeling, exposure 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.

The incumbent of this role will be primarily responsible for Researching and mining data from structured, semi-structured and unstructured sources to develop and improve our exposure data products Developing and optimizing data collection systems using strategies that optimize statistical efficiency and quality Applying machine learning techniques to develop and improve exposure and other data products Identifying, analysing, and interpreting trends or patterns in complex data sets using statistical techniques Working with stakeholders to gather understand and prioritize business and information requirements Identifying and executing process improvement opportunities Requirements Degree in Computer Science, Mathematics, Computational Linguistics, or similar field with experience in Machine Learning related projects with an exposure to NLP.

Ideal candidate would have 6 years in similar roles Hands-on experience in various facets of ML techniques, such as supervised learning (decision tress, random forests, XGBOOST and so on), semi-supervised learning, clustering, data discretization, normalization, sampling, classification, feature engineering, information extraction, structured prediction and ranking Proven experience applying NLP research to real-world problems.

Understanding of NLP techniques for text representation, extraction, data structures and modeling and developing NLP applications by finding and implementing the right algorithms Programming skills in scripting languages e.

g., Python or java or statistical packages e.g., R or similar Knowledge of statistics Familiarity with database management systems like SQL or PostgreSQL would be an added advantage Other Skills Excellent written and verbal skills, as evidenced by white papers or technical presentations at meetings and conferences Detail-oriented and self-driven individual Outstanding analytical and problem-solving skills Ability to independently scope, manage and drive projects Theres a 1 PERCENT chance an earthquake will cause $50 billion of insured loss within the next 12 months and a 5 PERCENT 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 were 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.

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