ThreatConnect enables threat intelligence, security operations, and cyber risk management teams to work together for more effective, efficient, and collaborative cyber defense. With ThreatConnect, organizations can infuse ML and AI-powered threat intel and cyber risk quantification into their work, allowing them to contextualize an evolving threat landscape, prioritize the most significant risks to their business, and operationalize defenses.
Requirements
- Proficiency in Python and familiarity with modeling libraries (e.g., NumPy, PyMC3, scikit-learn)
- Experience with Git, Jira, and modern ML ops pipelines
- Experience building CRQ models in alignment with FAIR or related frameworks
- Familiarity with simulating attack paths, graph-based reasoning, or control validation
- Experience with integrating models into SaaS platforms or cloud-native environments
- Background in red/blue teaming, SOC data, or adversary emulation is a plus
- Strong understanding of cybersecurity principles, threat actor behavior, or risk frameworks (e.g., NIST CSF, MITRE ATT&CK, FAIR)
Responsibilities
- Lead design and implementation of probabilistic and statistical models for loss magnitude, frequency, and attack path likelihood
- Expand and curate ThreatConnect’s risk data sets, including loss event data, CVE data (KEV, EPSS), MITRE ATT&CK coverage, control posture data, and third-party risk data
- Mentor a team of data scientists while remaining hands-on with modeling, code reviews, and experimentation
- Partner with Product, Engineering, and Threat Intelligence teams to operationalize models in RQ
- Research and apply advanced methods (Bayesian modeling, ML techniques) to continuously improve prediction accuracy and coverage
- Ensure model transparency, explainability, and defensibility for customer and regulatory review.
- Guide the implementation of AI-enhanced modeling (e.g., LLMs, pattern mining) to support automation of risk scenario development and decision support
Other
- player-coach role, combining hands-on modeling with leadership of a small but growing team of data scientists.
- Strong communication and storytelling skills for technical and non-technical audiences
- We offer a competitive benefits package with comprehensive insurance coverage, unlimited paid time off, and unique perks designed to help you meet your financial and personal goals.
- We are committed to offering an employment experience and benefits package that enables you and your family to grow with us and share in our success.
- We love to recognize our employees who have gone above and beyond.
