Security Research Engineer, Risk Signals

CyberCube; United States; Hybrid; USD 130,000 - 190,000; Full time

Benefits offered by this job

Competitive salary

401(k) match

Unlimited PTO

Premium health coverage

Parental leave

Learning & mentorship programs

Job summary

CyberCube is seeking a Security Research Engineer to join our global team. You will analyze internet-facing assets and translate network concepts into measurable risk signals, collaborating with Data Science, Engineering and Product to productionize risk models.

You'll drive research on threats and architecture while shaping risk scoring for the cyber insurance industry, reporting to the security lead and contributing to AI-enabled analytics.

Qualifications

• Must have deep internet and networking knowledge with foundational protocols.
• Strong ability to apply math and statistics to real-world risk scoring.
• Analytical mindset with ability to translate security concepts into data points.
• Educational background in quantitative/technical field as stated.

Responsibilities

• Design Risk Signals: create quantitative signals measuring cyber exposure.
• Quantify the Unquantifiable: convert theory into empirical risk metrics.
• Architectural Deep-Dives: study internet-facing configurations and infrastructure.
• Threat Landscape Research: map threats to asset configurations.
• Cross-Functional Collaboration: work with product, analytics and engineering.

Skills

Deep Internet & Networking Expertise

Strong Quantitative Acumen

Analytical Mindset

Experience in Network Engineering/Thre

Python

R

3+ years experience in networking/thre

Education

Bachelor’s or Master’s in Computer Science/Engineering/Math/Statistics

Tools

SQL

Spark/Hadoop

JSON/XML

APIs

Job description

About CyberCube:

CyberCube delivers the world's leading analytics to quantify digital risk, helping the largest global carriers, reinsurers and brokers understand, price and manage cyber risk in financial terms.

• 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 Security Research Engineer, you will play a critical role at the intersection of network engineering, cybersecurity, and data science. We are looking for an expert who deeply understands how the internet is wired—down to the protocol level—and possesses the quantitative prowess to translate that knowledge into computable risk metrics.

In this role, you will analyze how global businesses configure their internet-facing assets and design mathematical signals that accurately quantify their exposure to cyber attacks.

You’ll report to Mohammad Al Boni and work closely with our Data Science, Engineering and Product teams. Your research and models will directly drive the next generation of risk-scoring and analytical engines for the cyber insurance industry.

If you are passionate about turning theoretical network vulnerabilities into actionable, real-world risk signals that influence a global industry, this is the role for you.

Location: Hybrid in New York or San Francisco, or remote in the US.

Key Responsibilities

• Design Risk Signals: Develop innovative, quantitative signals that accurately measure a company’s exposure to cyber attacks based on their network architecture, asset configurations, and internet footprint.

• Quantify the Unquantifiable: Translate theoretical cybersecurity concepts and complex network topologies into empirical, actionable risk metrics and assumptions.

• Architectural Deep-Dives: Evaluate and extract meaningful insights from how organizations deploy and configure internet-facing protocols, cloud infrastructure, and enterprise networks.

• Threat Landscape Research: Conduct in-depth research on emerging cyber threats (e.g., critical vulnerabilities, ransomware, trending exploits, data breach techniques) and map them to underlying asset configurations.

• Cross-Functional Collaboration: Serve as the subject matter expert on internet architecture, working closely with product, analytics, and engineering teams to integrate your risk signals into production models.

Must-Have Skills & Qualifications

• Deep Internet & Networking Expertise: Expert-level understanding of how the internet works at a foundational level. You should be intimately familiar with network protocols (TCP/IP, BGP, DNS, HTTP/S, TLS), routing, ASN ecosystems, and complex enterprise network configurations.

• Strong Quantitative Acumen: Proven ability to apply mathematical and statistical concepts to real-world problems. You must be able to design quantitative metrics and build logic that scores and sizes risk exposure accurately.

• Analytical Mindset: Exceptional problem-solving skills with a track record of conceptualizing complex, abstract security concepts and breaking them down into measurable data points.

• Educational Background: Bachelor’s or Master’s degree in Computer Science, Computer Engineering, Mathematics, Statistics, or a related highly quantitative/technical field.

• Experience: 3+ years in network engineering, security research, threat research or attack surface management.

Good-to-Have (Preferred) Skills

• Coding for Signal Creation: Proficiency in Python or R to prototype algorithms and turn your theoretical risk concepts into actual programmatic outputs.

• Data Querying: Experience with SQL and relational databases to pull, manipulate, and analyze large datasets of asset and configuration data.

• Big Data Exposure: Familiarity with big data frameworks (Spark / Hadoop), flat files, complex data types (JSON, XML), and working with APIs.

Who might thrive here
This role is a fit for people from many backgrounds. You might be a Security Researcher, Threat Researcher, Penetration Tester or Offensive Security Engineer who knows how attackers find and exploit exposed assets. Or you might come from network engineering, detection engineering, or attack surface management and know exactly how internet-facing infrastructure gets set up and misconfigured.

Why you'll love it here

• 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

• Work abroad for up to three months a year with approval

• Company-paid learning and development, plus mentorship and secondment programs

• Dependent care assistance

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.

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.