Quantitative Cyber Risk Engineer: Attack Surface Signals

Cybercube-Analytics

San Francisco (CA)

In loco

USD 140.000 - 230.000

Tempo pieno

7 giorni fa

Candidati tra i primi

Generatore di candidature

Non inviare un curriculum generico — genera un curriculum e una lettera di presentazione personalizzati per questo specifico impiego.

Supera i filtri ATS

Descrizione del lavoro

CyberCube Analytics, Inc. in San Francisco is seeking a Quantitative Cyber Risk Engineer to bridge network engineering, cybersecurity, and data science. You will design signals measuring exposure and work with product, analytics, and engineering teams to integrate risk signals into models.

You will translate complex internet configurations into actionable metrics and help shape analytics for the cyber insurance industry.

Competenze

Deep understanding of how the internet works at a foundational level (TCP/IP, BGP, DNS, HTTP/S, TLS).
Ability to apply mathematical/statistical concepts to real-world risk problems.
Experience translating complex network topologies into measurable data points.
Educational background in a highly quantitative/technical field.
3–5+ years in network engineering, cyber threat research, risk modeling, or related domain.

Mansioni

Design innovative, quantitative signals that measure exposure to cyber attacks based on network architecture and internet footprint.
Translate theoretical cybersecurity concepts into empirical, actionable risk metrics and assumptions.
Architectural deep-dives to extract insights from internet-facing protocols, cloud infrastructure, and enterprise networks.
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.