Quantitative Risk Modeler (Cybersecurity)

TL;DR

Quantitative Risk Modeler (Cybersecurity): Researching and analyzing complex cybersecurity datasets to engineer analytical models for the insurance industry with an accent on statistical modeling and financial impact quantification. Focus on translating cyber principles into rigorous models for single-risk and portfolio decisions while collaborating with cross-functional engineering and actuarial teams.

Location: Must be based in or able to commute to the New York office (Hybrid: 2 days/week in office)

Salary: $130,000 – $160,000

Company

hirify.global provides leading AI-driven analytics to quantify cyber risk, translating critical digital threats into financial impact for global insurance markets.

What you will do

• Build, validate, and refine defensible analytical cyber risk models for single-risk and aggregate insurance products.
• Integrate cybersecurity, insurance, and risk modeling through research and large datasets.
• Translate complex threat intelligence into model inputs like frequencies, severities, and loss trends.
• Collaborate with product, analytics, and engineering teams to transition research models into production.
• Present model findings and loss drivers to internal stakeholders and clients.
• Contribute to technical documentation, industry studies, and informational content.

Requirements

• Must be able to work from the New York office 2 days per week.
• Demonstrated experience in quantitative modeling, econometrics, or statistical analysis with large datasets.
• Programming literacy in Python and SQL.
• Strong written and verbal communication skills for summarizing technical analysis for non-technical decision-makers.
• Genuine interest in cybersecurity and aptitude for learning new technical domains.
• Degree in a quantitative field such as statistics, economics, mathematics, data science, or computer science.

Nice to have

• Experience with catastrophe or risk quantification models.
• Knowledge of commercial insurance concepts, including cyber insurance and loss ratios.
• Graduate degree in a related quantitative or engineering discipline.
• Experience with data visualization tools like Tableau.
• Experience working in an agile team or startup environment.

Culture & Benefits

• Competitive salary with 4% 401(k) match and unlimited PTO.
• Premium health coverage (medical, dental, vision) with full deductible coverage.
• Hybrid work model with flexible hours.
• Work abroad program allowing up to three months of remote work per year.
• Company-paid learning, development, and mentorship programs.
• Generous paid parental leave and dependent care assistance.

Hiring process

• Recruiter screen (30 min) covering background and logistics.
• Hiring manager conversation (30 min) regarding role depth and team fit.
• Series of 30-60 minute technical and cross-functional interviews.