Model Validation Analyst

Job Description

Do you have a passion for software development, math, engineering, or the physical sciences? Do the concepts of data engineering and data science pique your interest? Does the opportunity to develop software that delivers to society a means to quantify and manage the risks associated with natural catastrophes interest you? Well, we have a great opportunity for you to consider in our Product Development Group in Boston that will engage you on the latest advancements in catastrophe modeling and develop you to take ownership of various projects and processes. 

    Author and present technical documents of analytical work

    Drive development of detailed test plans and timely execution and delivery of multiple products that have concurrent delivery schedules

    Responsible to prepare technical model studies and requirements documents

    Perform advanced statistical and mathematical insurance analytics tasks to validate model outputs and complete such projects with minimal supervision

    Ensure that products meet exacting requirements for accuracy and explicit and or implicit validation of scientific/ financial algorithms

    Design and Implement key quality metrics to track progress, provide status and enable transparency and timeliness in the product delivery decision making process

    Implement and or expand use of automated testing practices throughout the life cycle

    Collaborate with peer teams to facilitate timely completion of projects

    Ability to multitask and manage concurrent delivery of multiple enterprise grade products

Qualifications

• Undergraduate or Graduate degree in engineering, science or mathematics. 
• Experience with either statistical, mathematical software packages; or generally with analytical software.
• Superior verbal and written communication skills to interface with cross-functional teams that are talented, culturally diverse, global and widely varying technical skill sets
• Proven analytical and problem-solving quantitative abilities.
• Experience with large data sets analysis and manipulation
• Experience with designing and/or validating numerical probabilistic models in engineering, science, catastrophe modeling, finance, actuarial science, etc.
• Knowledge of product development life cycles to ensure the critical role of quality assurance teams

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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.