Information Security Analyst


Experience: 2-7 Years
Openings: 1
Job Description

We are hiring an Information Security Analyst to work in our growing IT Security team. You will monitor our computer networks for security issues, install security software, and document any security issues or breaches you find. To do well in this role you should have a bachelor's degree in computer science and experience in the information security field.


Monitor computer networks for security issues.
Investigate security breaches and other cybersecurity incidents.
Install security measures and operate software to protect systems and information infrastructure, including firewalls and data encryption programs.
Document security breaches and assess the damage they cause.
Fix detected vulnerabilities to maintain a high-security standard.
Stay current on IT security trends and news.
Develop company-wide best practices for IT security.
Perform penetration testing.
Help colleagues install security software and understand information security management.
Research security enhancements and make recommendations to management.
Stay up-to-date on information technology trends and security standards.

Eligibility Criteria

Bachelor's degree in computer science or related field
Experience in information security or related field
Experience with computer network penetration testing and techniques
Understanding of firewalls, proxies, SIEM, antivirus, and IDS concepts
Ability to identify and mitigate network vulnerabilities and explain how to avoid them
Understanding of patch management with the ability to deploy patches in a timely manner while understanding business impact

About Company

We believe that the nature of analytical work is undergoing radical transformation. The explosion in digital information has ushered in an era of unprecedented complexity. Humans are limited in their process complexity and the consequence is biased decisions.

At Accrete, we specialize in overcoming sparse training data challenges to build dynamic continuously learning models. We leverage human experts to create semantically rich training data on the order of less than .1% of the overall data ingested by our learning models. These models underly a platform with a variety of core capabilities including intelligent web crawling, contextual analytics and semantic search.

Refreshed on:  21 December 2020
Category:  Computer Science
Views:  1712
Recruiter last login:  15 May 2020 Homepage 300x250

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