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Quantitative Cyber Risk Jobs in Westfield, NJ (NOW HIRING)

CyberCube

Lead Cyber Risk & Analytics Engineer

New York, NY · On-site

$130K - $160K/yr

AI at our foundation, cyber risk at our core. We don't just use AI, we shape it. * Built on AI from ... This is a quantitative modeling role with a cyber lens, not a hands-on security job. The cyber side ...

Amicis Global

Quantitative Analyst

Jersey City, NJ · On-site

$75 - $85/hr

The Insider Risk team, in partnership with the Information Security Data Operations team, is ... The role partners closely with Cyber, HR, Legal, Compliance, Anti‐Fraud, and Enterprise ...

Deloitte

ServiceNow Platform Architect - Manager

New York, NY · On-site

$78 - $98.25/hr

By coupling our business and cyber risk process functional experts on platform automation and ... quantitative return on investment, program and target operating model, data strategy & governance ...

Everest Insurance

Risk Analyst I

Warren, NJ · On-site

$57K - $98K/yr

Support accumulation and exposure analyses across Property, Terrorism, Aviation, Cyber, and Workers ... quantitative discipline. * 1-3 years of experience in risk management, exposure management ...

Everest Re Group

Risk Analyst I

Warren, NJ · Hybrid

$57K - $98K/yr

Support accumulation and exposure analyses across Property, Terrorism, Aviation, Cyber, and Workers ... quantitative discipline. * 1-3 years of experience in risk management, exposure management ...

Everest

Risk Director

Warren, NJ · On-site +1

$116K - $150K/yr

... Climate, Cyber and Mortgage) where relevant. * Ensure actuarial models and tools comply with ... quantitative discipline. * 10+ years of actuarial experience in P&C (re)insurance. * 5+ years of ...

Everest Re Group

Risk Director

Warren, NJ · On-site +1

$116K - $150K/yr

... Climate, Cyber and Mortgage) where relevant. * Ensure actuarial models and tools comply with ... quantitative discipline. * 10+ years of actuarial experience in P&C (re)insurance. * 5+ years of ...

Everest

Risk Director

New York, NY · On-site +1

$116K - $150K/yr

... Climate, Cyber and Mortgage) where relevant. * Ensure actuarial models and tools comply with ... quantitative discipline. * 10+ years of actuarial experience in P&C (re)insurance. * 5+ years of ...

Everest Re Group

Risk Director

New York, NY · On-site +1

$116K - $150K/yr

... Climate, Cyber and Mortgage) where relevant. * Ensure actuarial models and tools comply with ... quantitative discipline. * 10+ years of actuarial experience in P&C (re)insurance. * 5+ years of ...

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All JobsQuantitative Cyber Risk JobsQuantitative Cyber Risk Jobs in Westfield, NJ

Quantitative Cyber Risk information

See Westfield, NJ salary details

$99K

$171.5K

$262.2K

How much do quantitative cyber risk jobs pay per year?

As of Aug 17, 2026, the average yearly pay for quantitative cyber risk in Westfield, NJ is $171,472.00, according to ZipRecruiter salary data. Most workers in this role earn between $135,900.00 and $201,000.00 per year, depending on experience, location, and employer.

What is quantitative cyber risk?

Quantitative cyber risk involves using mathematical models and statistical techniques to measure and predict the financial impact of cyber threats on an organization. Unlike qualitative approaches that rely on subjective judgments, quantitative methods assign numerical values to risks, helping companies understand potential losses in dollar terms. This allows organizations to make more informed decisions about cybersecurity investments, insurance, and risk mitigation strategies.

What are some common challenges faced by professionals in quantitative cyber risk roles and how can they be addressed?

Professionals in Quantitative Cyber Risk roles often encounter challenges such as translating complex cyber threats into measurable financial terms and obtaining reliable data for risk modeling. Collaborating closely with IT security teams and business stakeholders is essential to bridge gaps in understanding and ensure risk assessments are both technically accurate and aligned with organizational goals. Staying current with evolving threat landscapes and regulatory requirements also demands continuous learning and adaptation. Leveraging industry-standard frameworks and advanced analytics tools can help address these challenges effectively.

What are the key skills and qualifications needed to thrive as a quantitative cyber risk professional, and why are they important?

To thrive as a Quantitative Cyber Risk professional, you need strong analytical skills, expertise in statistics or mathematics, and a background in cybersecurity or risk management, often supported by relevant degrees or certifications. Familiarity with risk modeling tools, programming languages like Python or R, and frameworks such as FAIR (Factor Analysis of Information Risk) is highly valued. Exceptional problem-solving, communication, and stakeholder management skills help translate complex risk data into actionable business insights. These competencies are critical for accurately assessing cyber risks, informing decision-making, and enhancing an organization's overall security posture.

What is the difference between Quantitative Cyber Risk vs Cyber Risk Analyst?

AspectQuantitative Cyber RiskCyber Risk Analyst
Required CredentialsCertifications like CRCM, CISSP, or CISA; strong quantitative backgroundCertifications such as CISA, CRISC; focus on risk assessment skills
Work EnvironmentFinancial institutions, cybersecurity firms, large corporationsFinancial services, consulting firms, government agencies
Industry UsageFocuses on modeling and quantifying cyber risks using data analysisEvaluates and reports on cyber risks, develops mitigation strategies

While both roles involve cybersecurity, Quantitative Cyber Risk specialists focus on modeling and quantifying risks using data and mathematical methods. Cyber Risk Analysts assess, analyze, and communicate cyber threats and vulnerabilities. The former is more data-driven and modeling-oriented, whereas the latter emphasizes risk evaluation and strategic recommendations.

What job categories do people searching Quantitative Cyber Risk jobs in Westfield, NJ look for?

The top searched job categories for Quantitative Cyber Risk jobs in Westfield, NJ are:

Quantitative Cyber Risk jobs near you

Lead Cyber Risk & Analytics Engineer

Cybcube, Inc

New York, NY • On-site

$130K - $160K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 18 days ago

Job description

About CyberCube:
CyberCube delivers the world's leading analytics to quantify cyber risk, translating one of the most critical risks of today and the future into financial impact for businesses, markets, and society.
  • AI at our foundation, cyber risk at our core. We don't just use AI, we shape it.
  • Built on AI from day one. Artificial intelligence has been part of our strategy since the beginning, blended with deep cybersecurity and insurance expertise and backed by rigorous testing.
  • Trusted by more than 100 clients, including 75% of the top 40 European and US cyber insurance carriers and 70% of the top ten reinsurance brokers.
  • Backed for global growth. In 2025 Spectrum Equity joined some of CyberCube's financial partners as a new cornerstone investor, accelerating our global growth and fueling innovation across our end-to-end cyber risk analytics for the insurance industry.
  • A truly global team across San Francisco, New York, London, and Tallinn.
  • A culture of collaboration, openness, intellectual rigor, and ownership for excellence.
  • People at the forefront. We encourage CyberCubers to challenge themselves, push boundaries, and do the best work of their careers.

As a key member of the Cyber Risk Modeling (CRM) team, you will research and analyze large, complex cybersecurity datasets to engineer analytical models for the insurance industry.
The CRM team builds cyber risk models that leading insurers and reinsurers rely on for single-risk and portfolio decisions. You will work closely with our Actuarial, Data Science, Data Engineering, and Application Engineering teams to take those models from research into production.
This is a quantitative modeling role with a cyber lens, not a hands-on security job. The cyber side informs the work; the core of the role is translating cyber principles into rigorous statistical models. We want someone quantitative and adaptable who is excited to work at the intersection of modeling, cyber, and insurance.
Responsibilities
  • Build, validate, and refine defensible analytical cyber risk models for single-risk and aggregate risk products in the insurance industry.
  • Refine and build technographic models that integrate cybersecurity, insurance, and risk modeling through research and large datasets, bringing in new technologies, data sources, and techniques to make the models more valuable and representative. Areas of work include cybersecurity posture, cloud security, malware defense, cyber risk exposure, technology stack dependencies, security practices, and threat actor characteristics.
  • Translate cyber principles and large, complex datasets (including threat intelligence) into model inputs and financial measures: frequencies, severities, probabilities, and the trends that drive loss over time.
  • Work closely with the product, analytics, engineering, and client success teams in day-to-day tasks and projects.
  • Look for new and creative ways to bring AI into your work, and share what works with the team.
  • Present models and findings to internal teams, and on occasion to clients, explaining outputs and loss drivers in plain terms.
  • Contribute robust internal and external documentation in the form of model documents, industry studies, informational videos, and code comments.
  • Support cyber catastrophe model clients through change management, and channel their questions and feedback to the Product & Analytics team to shape future model direction.
Skills & Qualifications
  • Self-starter able to work well in independent and various team settings, including with teammates in other time zones.
  • Intellectual curiosity with willingness to learn new skills and contribute ideas.
  • Demonstrated quantitative modeling experience. You have built or worked on predictive or statistical models, whether in econometrics, statistics, or internal business modeling, and worked with large datasets.
  • Eager to work in an agile environment, with the ability to pick up and drop tasks as priorities shift and questions arise.
  • Strong written and verbal communication, including summarizing technical analysis for decision makers who are not technical, using dashboards, charts, or tools like Tableau.
  • A genuine interest in cybersecurity. Early-stage knowledge is fine; curiosity and aptitude matter more than years of practice.
  • Programming literacy. You have read and written Python and a query language such as SQL, enough to follow and interpret code in a live setting. You do not need to be an expert developer.
  • Sound judgment about working with AI. You know when it genuinely helps and when it does not, you can get useful results from it, you check its output against the source, and you stand behind whatever you produce with it.
  • Degree in a quantitative or technical field such as statistics, economics or econometrics, mathematics, data science, or computer science.
Extra Credit
  • Experience with catastrophe or risk quantification models.
  • Awareness of commercial insurance concepts, including cyber insurance, loss ratios, or calculating losses with probabilities and frequencies.
  • Graduate degree in a related quantitative or engineering discipline such as mathematics, actuarial science, statistics, data engineering or computer science.
  • Familiarity with database schemas and queries in SQL or NoSQL.
  • Experience with data visualization in Tableau, Python, R, or Excel.
  • Experience working in an agile team.
  • Experience at a startup or scaleup.
Our Interview Process
We aim to be transparent and respectful of your time. The process is typically:
  • Recruiter screen (30 min): your background, motivation, and the role, plus logistics and compensation.
  • Hiring manager conversation (30 min): the role in depth, the team, and what success looks like.
  • A series of 30-60 minute conversations with team members covering the core areas of the role, including technical depth, communication, and cross-functional collaboration.
Why You'll Love It Here (US)
  • Competitive salary, 4% 401(k) match, and unlimited PTO
  • Premium health coverage (medical, dental, vision) with CyberCube covering your full deductible
  • Generous paid parental leave
  • Hybrid working, two days a week in the office, plus flexible hours
  • Work abroad for up to three months a year with approval
  • Company-paid learning and development, plus mentorship and secondment programs
  • Dependent care assistance

#LI-Hybrid, #LI-Onsite
AI Fluency at CyberCube
AI is reshaping how work gets done across every function. We value people who are curious about AI, eager to learn, and thoughtful about applying AI tools to work more effectively. AI fluency is part of how we assess every role in our hiring process.
Don't tick every box? Apply anyway.
Research shows the best candidates rarely match a job description point for point. If you're excited about this role and believe you could make an impact, we'd love to hear from you, even if your experience doesn't line up perfectly with everything listed above.
CyberCube Analytics, Inc. and CyberCube Analytics Europe Limited is an equal opportunity employer. We don't tolerate discrimination against age, gender, gender identity, gender expression, sexual orientation, race, color, nationality, ethnicity, religion, disability, veteran status, protected genetic information or political affiliation.

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