Malware Analyst

A Day in the Life
As part of the attestation team for Adaptive Defense you will have to work on classifying files from clients that require expert human malware analysis. You will have to determine if the files are malicious or benign. As the files are blocked in the client’s computers waiting for classification, you will have to do it under an SLA. You will also analyze current malware trends.
About the Position
This position is critical for the success of the 100% Attestation service that is one of the key features of the Adaptive Defense platform. The Attestation Service Malware Analyst plays a key role as is responsible for the classification of the files that are blocked in the clients and that the machine learning models have labeled as high risk.
The right candidate for this position should have knowledge of malware analysis and reverse engineering of binaries. Previous experience in similar position is desired and the candidate should be able to analyze malicious and benign files and have knowledge of different programming languages and a technical background in cyber security.
This is a great opportunity for someone who loves malware analysis and reversing, who wants a career in cyber security and who wants to deal with the most challenging and current cyber threats attacking organizations. If you are passionate about Malware analysis and cyber-security, have experience with reverse engineering of malware, know about vulnerabilities and hacking methods, are up to date with cyber-threats and can analyze and understand Malware code, this is the position you are looking for.
This role reports directly to the Attestation Service Manager. If you are looking for a challenge and you are enthusiastic, self-motivated, and want to grow as a Malware Analyst, WatchGuard has the perfect role for you.
Position Responsibilities
Classification of files into malicious or benign
Join the malware analyst team with direct access to the best reversing engineers in the business
Analyze and detect the latest malware
Identification of PUPs (Potentially Unwanted Programs)
Goodware application classification
Analyze new trends and techniques used by malware and cyber criminals
Study the attack methods of new critical malware
Define new rules and technologies for malware identification to improve automatic classification systems based on machine learning
Improve client protection
Create technical reports on new critical malware for distribution to technical audiences
Continuous learning and continuous technical knowledge improvement
Participate in the most interesting technological projects and continuous challenges
Maintain an excellent working environment
Skills and Qualifications
Malware analysis and reverse engineering
Reverse engineering tools like IDA Pro, OllyDBG, WinDBG
Knowledge of other malware analysis tools
Knowledge of Sandbox Tolls like Cuckoo
Knowledge of Network Frames analysis (Winpcp/Wireshark)
Knowledge of Sysinternal tools (Sysmon / Autoruns / ProcMon / RegMon / diskMon / TCPView) or OS logs (syslogs / EventViewer)
Development of extensions and scripts for these tools
Windows, APIs, Windows user-space and kernel-space
Virtualization and emulation
Knowledge of C / C ++ / Python programming languages
Knowledge of other programming and scripting languages (.Net, Java, Javascript, VBscript, powersell, etc)
Additional knowledge on other platforms will be valued: iOS and Android
Pen testing and ethical hacking knowledge is a plus
Experience
At least 2-year experience in malware analysis.
Total Experience of 3-12 years
Experience working with malware in a lab
Knowledge in cybersecurity
Working as a part of a team with shared goals
Work under an SLA
Reversing malware and programming

Work arrangement
No