Overview
Required skills
SQL / strong Cybersecurity / strong Data analysis / good BI tools / good
We are seeking a Senior Cyber Security Analyst to work with a highly dynamic AdTech ecosystem, aiming to protect the digital world from malvertising.
This role involves direct collaboration with clients, in-depth analysis of web traffic, identification and neutralization of anomalous behaviors linked to malicious bots, fraud patterns, and malvertising campaigns. You will also play a key part in identifying and neutralizing harmful bots and online threats.
If you have a strong background in cybersecurity and a passion for neutralizing emerging threats at scale, we’d like to hear from you.
Customer
Our client provides comprehensive security solutions designed to protect individuals, organizations, and communities from digital threats. Operating across various sectors, the company addresses vulnerabilities and ensures protection against a wide range of risks, especially in the digital space. Their products focus on bot defense and anti-malvertising solutions specifically for AdTech companies. They support onboarding and integration processes for different partners, including Supply-Side Platforms (SSPs), Demand-Side Platforms (DSPs), agencies, and publishers. They offer protection solutions for a variety of use cases, along with a customizable reporting console and APIs that can be seamlessly integrated into clients’ systems.
Requirements
Requirements
- Bachelor’s degree in computer science, information security, or a related field
- 3+ years of experience as a Data Analyst / Cybersecurity Analyst / Cybersecurity Researcher, or a similar role
- Proficiency in building dashboards using BI tools such as Redash, Looker, Imply, or Kibana
- Strong Python skills for data analysis
- Proficient in SQL, including writing complex queries and user-defined functions
- Solid understanding of web architecture and protocols, including CDN, HTML, DOM, JavaScript, HTTP / HTTPS, and IPv4 / IPv6
- Strong knowledge of web security and security research, including web application security, bot management, and fraud detection
- Experience with security research methodologies, including hypothesis testing, verification, and awareness of bias
- At least an Upper-Intermediate level of English
WOULD BE A PLUS :
Hands-on experience with cloud data platforms such as BigQuery and SnowflakePractical experience of using Jupyter NotebooksBasic knowledge of JavaScriptPersonal Profile
Self-motivated and able to drive projects independentlyStrong written communication skills, especially in customer-facing contextsAnalytical and data-driven decision makerPassionate about data, security, and customer successSkilled in solving problems using statistical methodsResponsibilities
Responsibilities
Investigate advanced and persistent attacks using advanced data analysis and data science toolsResearch, design, and enhance detection mechanisms to stay ahead of emerging threatsAnalyze Customer traffic to identify undetected threats and false detections, using mostly ElasticSearch and BigQuery (SQL)Participate in go-to-green projects together with Engineering, Research and Customer Success teamsSupport Customers (Tier 2) in real-time, providing professional technical responsesWork side by side with Customers, providing insightful incident reportsCommunicate with global Customers and provide quick responses and resolutionsWork with cross-functional R&D and Research teams to optimize company’s ability to detect and mitigate real-time cyber attacksDesign, plan, and implement projects and automation for internal useBe prepared to work shifts (including weekends)