Catastrophe Modeler
Job Posting for Catastrophe Modeler at DRT Strategies, Inc.
Catastrophe Modeler
MUST BE LOCAL TO (DC/MD/VA)
Overview
DRT Strategies delivers expert management consulting and information technology (IT) solutions to large federal agencies, the U.S. Navy, state and local government and commercial clients in health care, technology, and financial services industries.
The three letters of our name, DRT, stand for Driving Resolution Together, which is the core philosophy on which the company was founded. That is, we collaborate with our clients to solve their most pressing challenges - together.
We are problem solvers dedicated to your success, combining Fortune 500 experience with small business responsiveness. We have established a reputation with our clients as a forward-thinking consulting firm with demonstrated success in implementing solutions that lead to meaningful results. Our world-class consultants unite people to work collaboratively to achieve project goals and make your vision a reality.
Project Description
DRT is seeking a candidate with catastrophe modeling experience in the property/casualty insurance industry and experience developing pricing for insurance products. The ideal candidate will assist the NFIP Actuaries in reviewing and comparing catastrophe models and provide insight based on their analysis of the results. The candidate will assist in creating Generalized Linear Models (GLMs) and conducting other actuarial analyses for all catastrophe models for each peril - storm surge, inland flooding, and tsunami flooding
Job Summary
The candidate will assist FEMA in comparing the expected loss ratios with historical losses in more depth than a typical year to determine if factors need to be adjusted for future rate development. The candidate will assist in updating the market baskets, uniform and orthogonal books when required based on the changes and improvements in data
Responsibilities
• Experienced with SQL database querying and manipulation.
• Demonstrate understanding of Generalized Linear Models (GLMs)
•Experience handling, manipulating, and analyzing large scale datasets with Python or R. This includes filtering data to discover trends, highlighting outliers, and presenting final products to the team and to leadership
•Demonstrate ability to manage large data projects in an effective and organized manner. This includes clean data management for future use by the team and others i.e. logical folder structures, consistent naming conventions, clear documentation of processes, etc.
• Possess an understanding of mathematical and statistical concepts used to gain better understanding of datasets; mean, standard deviation, variance, etc.
• Support annual rate reviews and development of appropriate rate and rule revisions, and revisions to actuarial statistical plans
•Provide catastrophic modeling support, including the design and review of models in support of various NFIP activities
• Inform FEMA of industry evolution and best practices for catastrophic modeling, assist with reviewing new and updated catastrophe model releases, and providing assessments to FEMA
• Support FEMA actuarial activities
• Support FEMA policy analyses
• Perform ad-hoc analyses in support of the planning and evaluation of the National Flood Insurance Program (NFIP) (including mitigation, risk assessment, and risk transfer activities)
• Support FEMA actuarial activities
• Support FEMA policy analyses
Required Experience
• Minimum of 3 to 5 years’ experience in a CAT modeling role preferably within an insurance setting
• Undergraduate-level knowledge of statistical and mathematical concepts required
• Experience using R and SQL software,
• Experience in at least two (2) of the following modeling vendors: AIR, RMS, KatRrisk, and CoreLogic
Preferred Experience
• Working towards or plan to obtain an Associate (ACAS) or Fellow (FCAS) of the Casualty Actuarial Society (CAS) preferred
• Catastrophe Modeling experience in the property/casualty insurance industry
• Modeling experience in the property/casualty insurance industry
• Proficiency with Microsoft Office (Excel, Access), VBA, and other programming languages is a plus
• Familiarity with Geospatial data and/or knowledge of GIS software packages is a plus
Education and Training
• Bachelor’s degree in a related quantitative field (e.g., mathematics, statistics, engineering, computer science)
DRT’s culture is reflective of our core values:
Currently due to the remote working status of the federal government, most DRT employees are teleworking from home and leveraging video conferencing along with other virtual productivity tools. Under normal circumstances, most of our positions are required to report onsite. However, DRT has not yet determined when employees will be required to return to their onsite workspaces. Please be aware that at the time a date is determined to return to the worksite, the requirement of this position may be to report in person to the work location.
DRT Strategies, Inc. (DRT) celebrates diversity and is proud to provide Equal Employment Opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, genetics, disability, or protected veteran status. In addition to federal law requirements, DRT complies with applicable state and local laws governing non-discrimination in employment in every location in which the company has facilities.
MUST BE LOCAL TO (DC/MD/VA)
Overview
DRT Strategies delivers expert management consulting and information technology (IT) solutions to large federal agencies, the U.S. Navy, state and local government and commercial clients in health care, technology, and financial services industries.
The three letters of our name, DRT, stand for Driving Resolution Together, which is the core philosophy on which the company was founded. That is, we collaborate with our clients to solve their most pressing challenges - together.
We are problem solvers dedicated to your success, combining Fortune 500 experience with small business responsiveness. We have established a reputation with our clients as a forward-thinking consulting firm with demonstrated success in implementing solutions that lead to meaningful results. Our world-class consultants unite people to work collaboratively to achieve project goals and make your vision a reality.
Project Description
DRT is seeking a candidate with catastrophe modeling experience in the property/casualty insurance industry and experience developing pricing for insurance products. The ideal candidate will assist the NFIP Actuaries in reviewing and comparing catastrophe models and provide insight based on their analysis of the results. The candidate will assist in creating Generalized Linear Models (GLMs) and conducting other actuarial analyses for all catastrophe models for each peril - storm surge, inland flooding, and tsunami flooding
Job Summary
The candidate will assist FEMA in comparing the expected loss ratios with historical losses in more depth than a typical year to determine if factors need to be adjusted for future rate development. The candidate will assist in updating the market baskets, uniform and orthogonal books when required based on the changes and improvements in data
Responsibilities
• Experienced with SQL database querying and manipulation.
• Demonstrate understanding of Generalized Linear Models (GLMs)
•Experience handling, manipulating, and analyzing large scale datasets with Python or R. This includes filtering data to discover trends, highlighting outliers, and presenting final products to the team and to leadership
•Demonstrate ability to manage large data projects in an effective and organized manner. This includes clean data management for future use by the team and others i.e. logical folder structures, consistent naming conventions, clear documentation of processes, etc.
• Possess an understanding of mathematical and statistical concepts used to gain better understanding of datasets; mean, standard deviation, variance, etc.
• Support annual rate reviews and development of appropriate rate and rule revisions, and revisions to actuarial statistical plans
•Provide catastrophic modeling support, including the design and review of models in support of various NFIP activities
• Inform FEMA of industry evolution and best practices for catastrophic modeling, assist with reviewing new and updated catastrophe model releases, and providing assessments to FEMA
• Support FEMA actuarial activities
• Support FEMA policy analyses
• Perform ad-hoc analyses in support of the planning and evaluation of the National Flood Insurance Program (NFIP) (including mitigation, risk assessment, and risk transfer activities)
• Support FEMA actuarial activities
• Support FEMA policy analyses
Required Experience
• Minimum of 3 to 5 years’ experience in a CAT modeling role preferably within an insurance setting
• Undergraduate-level knowledge of statistical and mathematical concepts required
• Experience using R and SQL software,
• Experience in at least two (2) of the following modeling vendors: AIR, RMS, KatRrisk, and CoreLogic
Preferred Experience
• Working towards or plan to obtain an Associate (ACAS) or Fellow (FCAS) of the Casualty Actuarial Society (CAS) preferred
• Catastrophe Modeling experience in the property/casualty insurance industry
• Modeling experience in the property/casualty insurance industry
• Proficiency with Microsoft Office (Excel, Access), VBA, and other programming languages is a plus
• Familiarity with Geospatial data and/or knowledge of GIS software packages is a plus
Education and Training
• Bachelor’s degree in a related quantitative field (e.g., mathematics, statistics, engineering, computer science)
DRT’s culture is reflective of our core values:
- Professionalism: Be a leader and someone your customers and colleagues can count on by taking ownership and accountability for your work. Demonstrate a solution-oriented mindset and bias for action. Show empathy, dignity, and respect for each other. Be "high minded", maintain a calm demeanor when dealing with ambiguity or adversity and stay out of the fray (i.e., avoid drama).
- Quality: Do things right and do the right thing. Pursue excellence in your work by delivering quality services and products that provide high value and return on investment (ROI).
- Teamwork: Work with each other, the customer, and DRT. Demonstrate flexibility, a positive attitude and willingness to work collaboratively to help others and share information.
- Customer Mission Focused: Commit to customer success and strive to exceed expectations by understanding the mission, executing the customer's vision, and solving challenges to drive results and achieve mission goals. Build meaningful customer relationships by asking thoughtful questions, listening, and operating transparently.
- Growth Mindedness: Commit to company, team, and personal growth. Embrace an entrepreneurial spirit by actively seeking opportunities to support new customer projects and/or solve problems. Actively work to improve your skills, learn to be comfortable with ambiguity, and be resourceful and willing to figure things out and add value.
Currently due to the remote working status of the federal government, most DRT employees are teleworking from home and leveraging video conferencing along with other virtual productivity tools. Under normal circumstances, most of our positions are required to report onsite. However, DRT has not yet determined when employees will be required to return to their onsite workspaces. Please be aware that at the time a date is determined to return to the worksite, the requirement of this position may be to report in person to the work location.
DRT Strategies, Inc. (DRT) celebrates diversity and is proud to provide Equal Employment Opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, genetics, disability, or protected veteran status. In addition to federal law requirements, DRT complies with applicable state and local laws governing non-discrimination in employment in every location in which the company has facilities.
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$89,255 to $114,480
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