Quantitative Cyber Risk Engineer: Attack Surface Signals

US Health Partners, LLC; San Francisco (CA); Híbrido; USD 120.000 - 180.000; Jornada completa

Descripción de la vacante

CyberCube Analytics, Inc. seeks a Quantitative Cyber Risk Engineer to join our team. You will analyze internet-facing assets, design mathematical signals, and translate complex network configurations into measurable risk metrics used in cyber insurance analytics.

You will collaborate with data scientists, engineers and product teams to drive risk scoring models and analytics engines that quantify cyber risk for global clients. AI fluency and strong curiosity are valued assets.

Formación

• Bachelor’s or Master’s degree in a highly quantitative/technical field.
• 3-5+ years of relevant work experience in network engineering, cyber threat research, risk modeling, or related domain.
• Experience applying mathematical and statistical concepts to real-world problems.

Responsabilidades

• Design risk signals to measure exposure based on network architecture and internet footprint.
• Translate theoretical cybersecurity concepts into empirical, actionable risk metrics.
• Architectural deep-dives to evaluate how organizations deploy internet-facing protocols and cloud infrastructure.
• Conduct research on emerging cyber threats and map them to asset configurations.
• Collaborate with product, analytics and engineering to integrate risk signals into production models.

Conocimientos

Internet & Networking

Quantitative acumen

Analytical mindset

Network protocols

Statistical concepts

Educación

Bachelor’s or Master’s in CS/CE/Math/Stats

Herramientas

Python

R

SQL

Big Data (Spark/Hadoop)

Descripción del empleo

CyberCube Analytics, Inc. seeks a Quantitative Cyber Risk Engineer to join our team. You will analyze internet-facing assets, design mathematical signals, and translate complex network configurations into measurable risk metrics used in cyber insurance analytics.

You will collaborate with data scientists, engineers and product teams to drive risk scoring models and analytics engines that quantify cyber risk for global clients. AI fluency and strong curiosity are valued assets.