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The INFORMS Computing Society (ICS) addresses the interface of O.R. and computing. Since their earliest days, O.R. and computing have been tightly linked. The practice of O.R. depends heavily on the availability of software and systems capable of solving industrial-scale problems: computing is the heart of O.R. in application.

ICS is INFORMS' leading edge for computation and technology. Major ICS interests are algorithms and software for modeling, optimization, and simulation. ICS is also interested in the leading edge of computing and how it affects O.R. (e.g. XML modeling standards, O.R. services offered over the web, open source software, constraint programming, massively parallel computing, high performance computing).

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Jobs of Interest to ICS

  • New York, Catastrophe Modeler (QBE Insurance Corporation, New York, NY): Implement catastrophe modeling services by providing guidance on catastrophe exposure drivers and optimization. Assess gross and net losses from deterministic natural, cyber, and casualty catastrophic disaster scenarios. Develop future forecast changes in catastrophe exposure and support underwriting leaders in all areas of the measurement and control of catastrophe risk using RMS, AIR, and IF catastrophe models, SQL, and R coding and scripts, and internal claims data. Design and manage detailed processes and databases to provide modeling information and processes to support divisional reporting, business channel rollup, and corporate reporting; to validate and challenge vendor model catastrophe results; to store complex catastrophe modeling exposure, loss, and claims information; and to support new business channels, data systems, and underwriting products. Monitor adherence to capacity allocations and insurance KPIs using detailed analytics. Full time employment, Monday – Friday, 37.5 hours per week, $123,000 - $183,000 per year.   MINIMUM REQUIREMENTS:   Bachelor’s degree in Mathematics, Statistics, Operations Research, Risk Management, Actuarial Science, Finance, or a related field, and 7 years of post-bachelor’s, progressive work experience in Catastrophe Modeling field; OR Master’s degree in Mathematics, Statistics, Operations Research, Risk Management, Actuarial Science, Finance, or a related field, and 5 years of work experience in Catastrophe Modeling field. Of the required experience, must have 3 years of experience in each of the following: SQL coding; and SAS coding. Of the required experience, must have 2 years of experience in each of the following: Catastrophe Modeling Software, including RMS RiskLink, AIR Touchstone, and IF Elements; Cyber Modeling Software: Guidewire Cyence; R, VBA, and PowerBI/DAX coding; and Microsoft Power BI. Employer also requires experience in Casualty Modeling Software: Arium and Praedicat. Any suitable combination of experience of education, training, or experience is acceptable. To Apply: Email CV to jonathan.stalder@us.qbe.com with Job Code KBGFJG65860-5 in the subject line
  • Philadelphia, Pennsylvania, Job Description DVRPC is seeking a Transportation Modeler/Analyst to join a vibrant modeling and research team in the Office of Travel Modeling. The Office of Travel Modeling maintains DVRPC’s regional travel simulation models, including a highly sophisticated activity-based model, a best-in-class trip-based model, and a tour-based truck model, and supports model applications to evaluate the impacts of transportation investments, new transportation technologies, long-range plans, and air quality improvement initiatives.  DVRPC’s travel models are highly customized, relying on numerous Python scripts to implement specific model functions, interact with different model programs, and process model outputs.  The Office of Travel Modeling is also active in research and use of emerging and big data for model development and transportation studies.     The Transportation Modeler/Analyst will assist the development and enhancement of DVRPC’s regional travel models, and support model applications and data analysis for planning studies.  Programming and data analytics skills are required for this position to debug model programs, add new model features, prepare data for model development, and summarize aggregated and disaggregated model outputs for various needs.  Work is performed in accordance with well-defined objectives and professional standards under the close technical direction of senior engineers and planners.   Responsibilities Maintain, update, calibrate, and validate the regional travel simulation models.  Develop tools and scripts to enhance and customize the regional models and their applications. Develop tools and scripts to process and visualize various model inputs, validation data, and model outputs. Design, process, and analyze various travel surveys and emerging data for travel behavior analysis. Conduct research for developing new modeling features and tools to meet emerging modeling needs.  Support model applications, debug model programs, develop forecasts at the regional, corridor, and project level, and present findings and recommendations to technical committees and planning partners as needed. Provide technical assistance to internal and external partners, and respond to requests of data and information.    Qualifications Strong self-learning, quantitative analysis, and problem-solving skills. Knowledge of the principles of transportation engineering, econometrics, statistical methods, or computer science that is applicable to transportation modeling and travel forecasting. Experience with Python, C#, or other object-oriented programming languages. Experience with SQL or other relational databases. Experience with GIS software. Experience with prevailing travel demand modeling software, such as VISUM, TransCAD, CUBE, or EMME is a plus. Ability to conduct research and evaluate information and data. Ability to effectively present analysis results in oral, written and graphic forms. Ability to establish and maintain effective working relationships with associates and planning partners.  
  • Newark, Delaware, We invite applications for a post-doctoral researcher to join the Coastal Hazards, Equity, Economic prosperity, and Resilience (CHEER) Hub ( www.drc.udel.edu/cheer/ ) . This interdisciplinary, multi-university, multi-year project is funded by the National Science Foundation ( award abstract ). The successful applicant will lead development of a computational framework to help design policies that can achieve sustainable equity, economic prosperity, and coastal resilience in the context of climate change. The framework both serves as the main vehicle for integrating the diverse disciplinary contributions and ultimately will form the basis of a policy analysis tool. The candidate should have a strong background in mathematical modeling, including optimization and simulation. Interest and background related to hurricanes is a plus. In addition, strong oral and written English communication skills and an ability to work independently are desirable. Competitive salary and benefits commensurate with qualifications/experience. This project offers an opportunity to gain experience with state-of-the-art modeling for a compelling application as part of a highly productive, interdisciplinary team. It can provide an excellent foundation for an academic career. Applications should be submitted electronically to Prof. Rachel Davidson, Department of Civil and Environmental Engineering, University of Delaware, rdavidso@udel.edu, and should include a CV and a cover letter summarizing relevant background and interests, date of availability, and a list of 3 references with their email addresses. The University is conveniently located an hour from Philadelphia and Baltimore, and within 2.5 hours of Washington, DC, New York, and numerous beaches.  For more information: Davidson: CEE (https://ce.udel.edu/people/faculty-profile/?id=10) DRC (http://www.drc.udel.edu/people/faculty/rdavidso) CHEER Hub: drc.udel.edu/cheer/ Disaster Research Center: https://www.drc.udel.edu/ Department of Civil and Environmental Engineering: https://ce.udel.edu/ University of Delaware: http://www.udel.edu

INFORMS Journal on Computing Articles

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