Modeler

**Required experience and skills**
- Basic understanding of ML/AI/NLP concepts and algorithm
- Analytical thinking, data visualization skills
- Research and development of insurance data products for emerging risks such as Liability lines, supply chain risk management, climate change etc. Draw meaningful insights and inferences based on various white / research papers on different insurance domains, available online.
- Excellent communication skills, ability to understand the requirements and hand off efficiently, self-starter and operating independently
- 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.
- Identify, plan, and execute continuous improvements in data analytics and data modelling activities.
- Synthesize and develop more creative and efficient developmental approaches for new models
- Prepare detailed documentation/presentation to share with both internal and client audiences
- Coordinate and communicate development activities in frequent basis with other stakeholders across the RMS office.
- Develop models based on logic, research, and domain knowledge. (Doesn’t need to be a statistical model)

**Experience required**
- MS/MTech 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
- 4-5 years of hands-on experience in similar roles
- Programming skills in Python or R or similar with demonstrated experience of automation.
- Working experience of data manipulation tools (SQL, Microsoft Office); VBA and VB.Net along with high level of expertise in Excel.
- Experience in one or more of the following - data mining, text mining, machine learning, data analytics, Predictive analytics and developing statistical mode.
- 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**:

- Understanding of law and court documents
- Basic concepts of economics such as inflation, index numbers etc.

**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 know how.

**About RMS, A Moody’s Analytics Company**
- Risk Management Solutions, Inc. (RMS) models and solutions help insurers, financial markets, corporations, and public agencies evaluate and manage global risk throughout the world. RMS has some 1,300 employees across 13 offices in the US, London, Bermuda, Zurich, India, China, Japan, Singapore, and Australia, with products and models covering six continents.
- We lead an industry that we helped to pioneer—catastrophe risk modeling - and continue to innovate. RMS was founded in 1989 by Stanford scientists who created our first model for California Earthquake. Today Insurers, reinsurers, trading companies, and other financial institutions trust RMS solutions to better understand and manage the risks of natural and human-made catastrophes, including hurricanes, earthquakes, floods, terrorism, and pandemics.
- We got acquired by Moody’s Analytics in 2021, opening up fascinating new opportunities to expand our models, data, technology and services to industries beyond Insurance to help the world better manage its risks.
- 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.