Analyze technical and behavioral information to identify insider risk, support investigations, and mature the program through data-driven insights.
Compensation
The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. A reasonable estimate of the current range is $69400 to $115700
Responsibilities
Conduct insider risk assessments and analysis using information from multiple technical, behavioral, and business data sources.
Assemble, correlate, evaluate, and interpret information to identify patterns, anomalies, and potential high-risk behavior.
Use user and entity behavior analytics tools to develop a holistic understanding of potential insider risk.
Conduct data, trend, and reporting analysis and present findings to key stakeholders.
Troubleshoot root causes, develop solutions, test functionality across environments, and document findings.
Own and design ATO risk control strategies, deploy and tune controls across login, device, transaction, and account-change surfaces, and optimize detection pipelines.
Locations (4)
Australia
Hong Kong
Singapore
Taiwan
Compensation
Competitive salary and company benefits
Responsibilities
Design and deploy ATO risk control strategies
Define step-up and intervention logic
Design end-to-end control flows across login, device, transaction, and account-change scenarios
Translate emerging attack patterns into actionable detection rules
A hands-on technical leadership role within the Behavioural team focused on building intelligence layers that turn customer signals into marketing triggers.
Compensation
The base pay range for this position is $147,300 - $192,000 CAD/year, which can include additional bonus depending on the position ultimately offered, in addition to a full range of medical, financial, and/or benefits. The base pay offered may vary depending on job-related knowledge, skills, and experience.
Responsibilities
Shape the Behavioral Platform Architecture: Help define the technical vision, system boundaries, and architecture for services that transform customer activity signals into actionable trigger events.
Lead by Example: Be a hands-on technical leader who contributes directly to high-impact work through design, implementation, code review, debugging, and production support.
Build the Behavioral Decisioning Engine: Design and implement services that detect behavioral patterns across events, correlate signals across time windows, and determine trigger eligibility.
Design Stateful Contact Context: Help architect systems that maintain the short-lived behavioral state and lookback windows needed to evaluate patterns like ‘action without completion,’ multi-event intent signals, and state-change-driven triggers.
Establish a Reusable Pattern Framework: Help build declarative or rule-based capabilities that allow new behavioral triggers to be defined, configured, evaluated, and extended efficiently over time.
Analytical partner to the Product organization, owning the picture of how agents, clients, and consumers engage with the platform to unlock transformative insights.
Compensation
The base pay range for this position is $138,000 - $153,000 however, base pay offered may vary depending on job-related knowledge, skills, and experience. Bonuses and restricted stock units may be provided as part of the compensation package, in addition to a full range of benefits.
Responsibilities
Own the engagement picture for agents, clients, and consumers use products (adoption, depth, retention)
Partner with Product Leadership as a strategic thought partner on roadmap and investment decisions
Surface product blind spots and engagement risks
Define success metrics and evaluate impact using observational methods
Turn event data into trusted metrics by working with platform data in the lakehouse
As an innovator at heart, you will lead the Email Security Research team and shape the future of AI-driven email protection. You will define the technical vision, drive the research roadmap, and lead a team developing advanced detection capabilities.
Responsibilities
Lead, mentor, and grow a team of Email Security researchers and analysts.
Define and execute the Email Security research, detection, and analytics roadmap.
Drive innovation in AI and LLM-powered email security.
Lead the design of advanced detections for phishing, Business Email Compromise (BEC), malware, account takeover, and emerging email threats.
Improve detection efficacy through behavioral analytics, threat research, and large-scale data analysis.
A Security Threat Intelligence and Hunting Analyst is a seasoned subject matter expert, responsible for analyzing and detecting cyber threats and malware impacting the company.
Responsibilities
Reads reports, makes risk assessments, works to detect the source of attacks and tests current defenses against threats.
Advises on analysis enabling organization to make decisions on how to improve security measures and respond to attacks.
Monitors security alerts and maintains awareness of new threats and vulnerabilities in order to identify potential risks.
Analyses data from various sources, including network traffic, email logs, malware files, web server logs, DNS records, etc. to identify cybersecurity risks.
Develops and maintains threat intelligence databases containing information about cybercrime tactics, techniques, and procedures (TTPs) used by hackers or other actors targeting the organization’s assets.
Requirements
Bachelor’s degree or equivalent in computer science, information technology or security or related field
Integrate endpoint security controls and EDR capabilities to enhance visibility, detection, and response for systems accessing AI platforms and services.
Responsibilities
Integrate endpoint security controls and EDR capabilities to enhance visibility, detection, and response for systems accessing AI platforms and services.
Monitor and assess AI application usage across enterprise endpoints to ensure compliance with approved AI usage policies and security standards.
Identify, investigate, and mitigate Shadow AI activity through endpoint monitoring, policy enforcement, and user-risk analysis.
Leverage endpoint telemetry, behavioral analytics, and EDR data to detect anomalous AI-related activity and emerging security risks.
Support endpoint hardening, configuration management, and security-control implementation for AI-enabled workstations and developer environments.
Develop and maintain AI-specific detection rules and monitoring content
Build correlation rules and behavioral analytics using available SIEM telemetry
Create detection use cases covering Shadow AI activity, Prompt-injection attempts, Sensitive-data exposure and data leakage, Privilege misuse, Unauthorized plugin activity, Model misuse
Test detection logic against available telemetry and document validation results
Tune alerts to reduce false positives while preserving detection coverage
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