Job Location: Noida
We are seeking a senior analyst to join our cyber modeling and analytics team. The team focuses on developing products related to cyber risk exposure, data, and related applications. Such products are an important part of the 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 solutions as part of cyber risk modeling.
The incumbent of this role will be primarily responsible for:
- The applicant will be extensively involved in machine learning, deep learning, statistical modeling and data analytics role in the domain of Emerging Risk as Cyber.
- Draw meaningful insights and inferences based on various white and research papers available online.
- Enhancing data collection procedures to include information that is relevant for building analytic systems.
- Should be able to automate various processes on regular basis using Python/R 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).
- Serve as an active participant on cross-functional projects, interpreting data, and translating into actionable insights, providing support on ad-hoc analysis and reports.
- Independently develop statistical and ML models to deliver organizational goals.
Experience required: –
- BS / MS degree in computer science or science-related field including but not limited to Operations Research, Applied Mathematics, Econometrics and Statistics.
- 2-3 years of hands-on experience in similar roles.
- Exposure to the insurance domain is a plus.
- Proficient in Python/R programming skills and Julia programming skill is a plus.
- Understanding of NLP, NLU and Machine learning/Deep learning methods.
- Data manipulation tools (SQL, Microsoft Office); VBA and VB.Net is added advantage along with the 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.
- Good, applied statistics skills, such as distributions, statistical testing, regression, etc.
Added Advantage:
- Experience in one or more of the following would be useful: data mining, text mining, machine learning developing statistical models.
- 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 ownership of the work.
About RMS
- Theres 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.
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