Insider Risk Analyst
Job Summary
Job Description
This Insider Risk Analyst role within gTech Risk focuses on building and deploying technical solutions to enhance the security posture of a large user base. Responsibilities include designing and deploying solutions to improve security, automating manual processes, applying secure access management practices (with emphasis on insider risk), performing security event triage within an incident response framework, and translating technical concepts into consumable data outputs. The position requires developing and implementing global security risk programs and solutions, focusing on end-user security within IAM, platform security, and incident response. The successful candidate will work with both technical and non-technical stakeholders to ensure a strong, scalable security posture.
Must have:
- Bachelor's degree in CS or related field
- 3+ years security experience
- Experience in IAM, platform security, and incident response
- Experience with AI/ML and data analysis tools (SQL, R, Python, Go)
- Develop and deploy security solutions
- Automate security processes
- Apply secure access management practices
- Perform security event triage
Good to have:
- Experience converting concepts into robust technology for security applications
- Experience partnering with executive stakeholders
- Experience converting data science principles into simple outputs
- Understanding of the security and insider risk landscape for technology companies
7 skills required
Job Details
Minimum qualifications:
- Bachelor's degree in Computer Science, a related field, or equivalent practical experience.
- 3 years of experience within the security space including, security engineering, security analytics, risk quantification/measurement, or technical risk management.
- Experience in developing and contributing to the implementation of scaled global security risk programs and solutions.
- Experience landing security outcomes that focus on the end-user in the Identity and Access Management (IAM), platform security, and incident response domains.
- Experience with AI/ML and data analysis softwares like SQL, R, Python, Go.
Preferred qualifications:
- Experience converting concepts into robust technology for security applications.
- Experience in partnership with technical and non-technical executive cross-functional stakeholders, and influence successfully across levels and organizational boundaries.
- Experience with converting data science principles into simple, consumable, outputs that alleviate the need to understand technical concepts for broad audiences.
- Understanding of the current and evolving landscape of security and insider risk for technology companies.
About the job
We're building out the fundamental infrastructure to measure and gain observability of risk and security surfaces in gTech, and to do that we need to ensure we’re building analytics, reporting, and control enforcement infrastructure. This role will be in the development of data and access infrastructure that contributes to the fundamentals of securing and improving observability for a large insider population and the associated threats. In addition, this role will drive the adoption of the infrastructure and controls developed within gTech’s operations.
You will actively build and deploy these technical applications along with your peers, including external engineering teams, product teams, and non-technical stakeholders to assure a strong security posture that scales and improves business operations.Responsibilities
- Design, develop, and deploy technical solutions to improve the security posture of a large-scale user base.
- Automate pre-existing manual processes through technology to scale output and multiply effectiveness for the technical scope of large security programs and initiatives.
- Apply principles of secure access management practices, with a focus on insider risk and the associated threats, to access management systems and processes.
- Perform triage of security event tickets, contributing to an existing incident response framework, with a focus on identifying anomalous behavior.
- Translate sophisticated technical concepts into consumable data outputs that allow for interoperability of technical work and business operations.
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