Threat Analyst II, Machine Learning Operations and Response - Topeka, United States - Kansas Action for Children

Description

at CrowdStrike, Inc. in Topeka, Kansas, United States
Job Description CrowdStrike, Inc.

at CrowdStrike, Inc. in Topeka, Kansas, United States
Job Description CrowdStrike, Inc.

Full time

Posted 13 Days Ago

R16339

#WeAreCrowdStrike and our mission is to stop breaches. As a global leader in cybersecurity, our team changed the game. Since our inception, our market leading cloud-native platform has offered unparalleled protection against the most sophisticated cyberattacks. We're looking for people with limitless passion, a relentless focus on innovation and a fanatical commitment to the customer to join us in shaping the future of cybersecurity. Consistently recognized as a top workplace, CrowdStrike is committed to cultivating an inclusive, remote-first culture that offers people the autonomy and flexibility to balance the needs of work and life while taking their career to the next level. Interested in working for a company that sets the standard and leads with integrity? Join us on a mission that matters - one team, one fight.

About the Role:

Our CrowdStrike Data Science Machine Learning Operations and Response Team is looking for a Threat Analyst who is both customer- and team-focused.

This role will include both pro-active and response aspects. This role will be perfect for someone passionate a career involving detections and reverse engineering. The primary responsibility of this role will be to analyze malware and detections by investigating individual customer detection tickets.

This team is focused on improving detection capability and efficiency through analysis of malware or other threat detections impacting our customer base.

Experience with detections of potentially malicious behavior by machine learning models is a plus.

Bring your passion for helping internal partners resolve questions about detections of potentially malicious activity by machine learning and our detection capability.

Our goal for the team is to both help internal teams respond to customer-inquiries about threat detection and to provide information about the effects of our detections into the Data Science organization - including detection efficacy and managing false positive detections.

This role will work most closely with internal teams such as Technical Account Managers, Falcon Complete, Data Scientists and the Malware Research Center in Data Science.

What You'll Do:
Review current product detections to ensure they are performing to the company standard

Perform tasks to enable better-management of false positive detections

Analyze binary files to determine their legitimacy

Address internal questions and concerns regarding customer threat detections


What You'll Need:
Exposure and understanding of different types and functionality of malware

Basic knowledge of reverse engineering malware, or malware operations

Fundamental understanding of attributes of binary files such as imports/exports and packers

Ability to demonstrate practical knowledge of research/collection skills and analytical methods

General understanding of threat/risk management and threat/risk assessment

Knowledge of programming and scripting languages, in particular Python

Familiarity with various operating systems

Ability to break down complex problems into workable components


Bonus Points:
Experience in a security operations


PI
CrowdStrike, Inc.

is an Equal Opportunity Employer and does not discriminate against any applicants for employment based on their race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, physical or mental disability, genetic information, veteran status, uniformed service member status, or any other status protected by law.

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