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Senior Catastrophe Modeling Analyst Jobs in Reston, VA

Amicis Global

Quantitative Analyst

Washington, DC · On-site

Onsite, Washington, DC (1100 15th Street NW) Schedule: Full-time, 40 hours per week (8 hours per day) Duration: 12-month contract (with possible extension) Senior Analyst - Financial and IT Modeling ...

Comtech, LLC

Senior Data Analyst/Modeler

Washington, DC · On-site

$97K - $122K/yr

The Senior Data Analyst/Modeler is a highly trained professional who will become an expert in our source data and lead the data mapping effort to migrate the data into our new enterprise data ...

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Senior Catastrophe Modeling Analyst information

See Reston, VA salary details

$55.7K

$114.3K

$148.3K

How much do senior catastrophe modeling analyst jobs pay per year?

As of Aug 20, 2026, the average yearly pay for senior catastrophe modeling analyst in Reston, VA is $114,279.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,200.00 and $142,500.00 per year, depending on experience, location, and employer.

What does a senior catastrophe modeling analyst do?

A Senior Catastrophe Modeling Analyst uses specialized software and data analysis to assess the potential financial impact of natural and man-made disasters, such as hurricanes, earthquakes, or terrorism, on insurance portfolios. They interpret complex risk models, develop loss estimates, and provide insights to help insurers and reinsurers manage their exposure. In addition to technical modeling, they often mentor junior analysts, collaborate with underwriting teams, and communicate results to stakeholders to support business decisions.

What are some typical challenges a senior catastrophe modeling analyst faces when working with multi-disciplinary teams?

As a Senior Catastrophe Modeling Analyst, you’ll often collaborate with underwriters, actuaries, and risk managers, each bringing different perspectives and priorities. A common challenge is translating complex model results into actionable insights that are easily understood by non-technical stakeholders. Additionally, aligning modeling assumptions and data quality standards across teams can require effective communication and negotiation skills. Navigating tight deadlines during renewal seasons and staying updated with evolving modeling software are also frequent aspects of the role.

What are the key skills and qualifications needed to thrive as a senior catastrophe modeling analyst, and why are they important?

To thrive as a Senior Catastrophe Modeling Analyst, you need a solid background in mathematics, statistics, and risk analysis, typically supported by a degree in a quantitative field and relevant industry experience. Familiarity with catastrophe modeling software (e.g., AIR, RMS), programming languages (such as SQL, Python, or R), and data visualization tools is highly valuable. Strong analytical thinking, problem-solving skills, and effective communication help you translate complex model outputs into actionable insights for stakeholders. These competencies are crucial for accurately assessing risk, supporting business decisions, and ensuring effective risk management in the insurance and reinsurance sectors.

What is the difference between Senior Catastrophe Modeling Analyst vs Catastrophe Modeling Analyst?

AspectSenior Catastrophe Modeling AnalystCatastrophe Modeling Analyst
Required CredentialsBachelor's or Master's in Actuarial Science, Risk Management, or related field; professional certifications preferredBachelor's degree in relevant field; certifications advantageous
Work EnvironmentMore responsibility, mentorship, and project leadershipFocus on data analysis and model development
Employer & Industry UsageInsurance, reinsurance, and risk consulting firmsInsurance companies, modeling firms, and risk consultancies

The main difference is that the Senior Catastrophe Modeling Analyst typically has more experience, leadership responsibilities, and may oversee projects, while the Catastrophe Modeling Analyst focuses on data analysis and model development. Both roles require similar technical skills and industry knowledge, but the senior position involves greater responsibility and strategic input.

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Senior Catastrophe Modeling Analyst jobs near you

Workforce Modeling & Data Analyst

Golden Key Group

Washington, DC • On-site

Other

Posted 5 days ago

Job description

About GKG
With a passion for excellence, Golden Key Group (GKG) helps clients solve their strategic, organizational, and operational challenges to better meet their mission demands. We have serviced more than 25 Federal departments and agencies and several large commercial companies since our inception in 2002.
Golden Key Group's talented professionals, combined with our strategic partners, bring a depth of commercial and government experience and expertise. We are relentless in delivering the highest levels of services to provide tangible value and create sustainable results for our clients.
Overview
The Workforce Modeling & Data Analyst will serve as a mid to senior-level analytic resource supporting development of the Human Capital Strategic Plan, Human Capital Operating Plan, and Workforce Growth Plan. The analyst will interpret workforce staffing model data, historical workforce information, predictive analytics outputs, labor market inputs, and stakeholder-provided information to develop annual staffing targets, workforce projections, dashboards, and model-driven analytic products. This role will translate data into practical workforce planning insights that support staffing targets, surge and readiness requirements, workforce growth recommendations, performance monitoring, and senior leadership decision-making.
The selected individual will have the option to work remotely however will need to be local for onsite mandatory meetings in D.C.
Note** This position is being recruited in support of potential future contract awards, and qualified candidates may be considered for upcoming opportunities supporting federal government clients.
Responsibilities
The analyst will review background documentation and workforce data, identify gaps in available information, and document sources, assumptions, limitations, and methodologies used in the analysis. The analyst will develop staffing tables by job category and year, summarize planned growth and surge requirements, and prepare dashboards, briefing materials, and analytic narratives that support the Workforce Growth Plan, the environmental scan and workforce analysis sections of the HCSP, and the metrics and workforce risk elements of the HCOP. The analyst will also support analysis of workforce demographics, attrition and retirement projections, hiring trends, skills gaps, geographic staffing challenges, labor market conditions, and other factors needed to produce actionable, measurable, data-informed deliverables.
Qualifications
  • The minimum qualifications for this role include a bachelor's degree in human capital analytics, workforce planning, statistics, economics, public administration, business analytics, data science, industrial-organizational psychology, human resources, or a related discipline.
  • The candidate should have mid to senior-level experience supporting workforce analytics, workforce planning, staffing projections, data visualization, organizational planning, or related human capital analysis.
  • The candidate must be able to analyze workforce information, develop tables and dashboards, document analytic assumptions, and convert data findings into executive-ready planning recommendations.
  • Familiarity with federal human capital programs, staffing, recruitment, retention, workforce planning, or mission support operations is strongly preferred.

Desired Qualifications
  • The ideal candidate will hold a master's degree in analytics, workforce planning, public administration, human resources, organizational development, industrial-organizational psychology, statistics, or a related field.
  • The ideal candidate will have senior-level experience supporting federal workforce planning or human capital strategy engagements, including development of annual and multi-year workforce projections for complex organizations.
  • Experience using predictive analytics, trend analysis, attrition modeling, retirement eligibility analysis, labor market analysis, scenario planning, Power BI, Tableau, Excel, statistical software, or comparable visualization and analytic tools is highly desirable.
  • Experience supporting law enforcement, DHS, national security, or other federal operational workforce environments would further strengthen alignment to the solicitation.

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