Vacancy caducado!
Job Description
This position is primarily responsible for developing, enhancing, and managing vulnerability component of AIR’s wildfire portfolio risk analysis models. The candidate will be located in Boston and work closely with a team of engineers, scientists, statisticians, and specialists in the research department. Candidates fit this position are expected to be highly motivated and detail-oriented team player with sophisticated problem-solving skills.
Main responsibilities
- Rich experience in catastrophe risk modeling, stochastic modeling for natural disaster
- Strong analytical skills. Demonstrated programming skills using R or python.
- Experience in wildfire risk assessment/modeling is a strong plus.
- Knowledge of GIS and SQL is a plus.
- Assist in client support by providing technical analysis, conference presentation, and written documentation.
Qualifications
1. Hands-on experience in wildfire risk assessment and modeling. Without wildfire modeling experience, candidates with rich experience in modeling other natural catastrophe perils is equally qualified.2. Proficient in programming with at least one of Python, R, C, or other languages.3. Demonstrated experiences in statistical and probabilistic modeling. Familiar of GIS data process, analyzation, and visualization is a plus.4. Excellent written and verbal communication skills.
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Additional Information
Verisk Analytics is an equal opportunity employer.
All members of the Verisk Analytics family of companies are equal opportunity employers. We consider all qualified applicants for employment without regard to race, religion, color, national origin, citizenship, sex, gender identity and/or expression, sexual orientation, veteran's status, age or disability.
http://www.verisk.com/careers.html
Unsolicited resumes sent to Verisk, including unsolicited resumes sent to a Verisk business mailing address, fax machine or email address, or directly to Verisk employees, will be considered Verisk property. Verisk will NOT pay a fee for any placement resulting from the receipt of an unsolicited resume.
Vacancy caducado!