AI-powered, threat-informed third-party risk management. Continuous visibility and predictive intelligence.
New York, New York
Funded by world-class investors, including Evolution Equity Partners, Silver Lake Partners, Sequoia Capital, GV, Riverwood Capital, and others, SecurityScorecard is the global leader in cybersecurity ratings, response, and resilience, with more than 12 million companies continuously rated. Founded in 2013 by security and risk experts Dr. Aleksandr Yampolskiy and Sam Kassoumeh, SecurityScorecard's patented rating technology is used by over 25,000 organizations for enterprise risk management, third-party risk management, board reporting, due diligence, cyber insurance underwriting, and regulatory oversight. SecurityScorecard makes the world a safer place by transforming the way companies understand, improve and communicate cybersecurity risk to their boards, employees, and vendors. SecurityScorecard is listed as a free cyber tool and service by the U.S. Cybersecurity & Infrastructure Security Agency (CISA). Every organization has the universal right to its trusted and transparent Instant SecurityScorecard rating Founded in 2013 by security and risk experts Dr. Alex Yampolskiy and Sam Kassoumeh, SecurityScorecard’s patented rating technology is used by over 25,000 organizations for self-monitoring, third-party risk management, board reporting and cyber insurance underwriting; making all organizations more resilient by allowing them to easily find and fix security risks across their externally facing digital footprint. SecurityScorecard is the only provider of instant cyber risk ratings that automatically map to vendor cybersecurity questionnaire responses - providing a true 360 degree view of risk. SecurityScorecard continues to make the world a safer place by transforming the way companies understand, improve and communicate security risk to their boards, employees and vendors. To receive an email with your company’s current score, please visit instant.securityscorecard.com.
Remote · Canada
Develop and deploy advanced machine learning models for risk scoring, threat intelligence, and vendor risk assessment. Collaborate with cross-functional teams to integrate these models into production systems and communicate findings to stakeholders.
Remote · Canada
Develop and deploy advanced machine learning models for risk scoring and threat intelligence to enhance the cybersecurity ratings platform. Collaborate with cross-functional teams to integrate models into production and communicate findings to technical and non-technical stakeholders.
Remote · Canada
Develop and deploy advanced machine learning models for risk scoring, threat intelligence, and vendor risk assessment. Collaborate with cross-functional teams to integrate these models into production systems and communicate findings to stakeholders.
Remote · Canada
Develop and deploy advanced machine learning models for risk scoring, threat intelligence, and vendor risk assessment. Collaborate with cross-functional teams to integrate these models into production systems and communicate findings to stakeholders.
On-site · Canada
Develop and deploy advanced machine learning models for risk scoring, threat intelligence, and vendor risk assessment. Collaborate with cross-functional teams to integrate these models into production systems and drive insights for the cybersecurity ratings platform.
Remote · Canada
The Senior Data Scientist will build, evaluate, and deploy machine learning models for risk scoring and threat intelligence. They will also collaborate with cross-functional teams to integrate these models into production systems and communicate findings to stakeholders.