We are partnering with a leading cybersecurity company dedicated to protecting organizations most critical assets and addressing their greatest risksthe vulnerabilities in people. Through a comprehensive suite of cloud-based solutions the company empowers businesses worldwide to block targeted threats secure sensitive data and strengthen user resilience against cyber-attacks.
The Opportunity
Youll be part of a global team that pushes boundaries to redefine cybersecurity guided by our BRAVE core values:
Bold in how we dream and innovate
Responsive to feedback challenges and opportunities
Accountable for results and delivering best-in-class outcomes
Visionary in future-focused problem-solving
Exceptional in execution and impact
Key Responsibilities
Design test and deploy advanced detection logic to identify suspicious or risky activities.
Continuously refine detection logic to reduce false positives/negatives and improve accuracy
Collaborate with Threat Researchers to integrate new attack techniques and indicators of compromise (IOCs)
Work closely with Product Management to align detection capabilities with broader security goals and customer needs
Analyze large datasets to uncover patterns of malicious behavior and account takeover attempts
Troubleshoot detection issues and enhance system reliability
Help shape the future of account takeover prevention by combining engineering data analysis and cybersecurity expertise.
What Were Looking For
MustHave Skills
Hands-on experience with Python (including Pandas) for data analysis.
Strong skills in big data querying (AWS Athena preferred)
Proven ability to analyze and parse large datasets
Investigative skills to debug detection issues and improve accuracy
Experience collaborating with cross-functional teams (threat intelligence product management engineering)
Solid understanding of cloud applications and account security fundamentals
Excellent communication skills in English
Nice to Have
Prior experience in a threat research or detection engineering role
Familiarity with cybersecurity fundamentals such as behavioral analysis and threat detection
Experience with data science tools (Spark PySpark AWS Sagemaker Notebook Jupyter Notebook)
Background in building supervised and unsupervised machine learning models for anomaly detection and data classification
Exposure to large-scale SaaS security environments
Contributions to open-source projects or security research communities
Ability to thrive in a fast-paced global team environment
Work Environment
Location: Córdoba Argentina
Employment Type: Full-time
Collaborative global team environment with cross-functional interaction
Agile application development setting emphasizing adaptability and continuous improvement
Flexible work arrangements to support productivity and work-life balance
Culture rooted in values of innovation accountability and teamwork
We are partnering with a leading cybersecurity company dedicated to protecting organizations most critical assets and addressing their greatest risksthe vulnerabilities in people. Through a comprehensive suite of cloud-based solutions the company empowers businesses worldwide to block targeted threa...
We are partnering with a leading cybersecurity company dedicated to protecting organizations most critical assets and addressing their greatest risksthe vulnerabilities in people. Through a comprehensive suite of cloud-based solutions the company empowers businesses worldwide to block targeted threats secure sensitive data and strengthen user resilience against cyber-attacks.
The Opportunity
Youll be part of a global team that pushes boundaries to redefine cybersecurity guided by our BRAVE core values:
Bold in how we dream and innovate
Responsive to feedback challenges and opportunities
Accountable for results and delivering best-in-class outcomes
Visionary in future-focused problem-solving
Exceptional in execution and impact
Key Responsibilities
Design test and deploy advanced detection logic to identify suspicious or risky activities.
Continuously refine detection logic to reduce false positives/negatives and improve accuracy
Collaborate with Threat Researchers to integrate new attack techniques and indicators of compromise (IOCs)
Work closely with Product Management to align detection capabilities with broader security goals and customer needs
Analyze large datasets to uncover patterns of malicious behavior and account takeover attempts
Troubleshoot detection issues and enhance system reliability
Help shape the future of account takeover prevention by combining engineering data analysis and cybersecurity expertise.
What Were Looking For
MustHave Skills
Hands-on experience with Python (including Pandas) for data analysis.
Strong skills in big data querying (AWS Athena preferred)
Proven ability to analyze and parse large datasets
Investigative skills to debug detection issues and improve accuracy
Experience collaborating with cross-functional teams (threat intelligence product management engineering)
Solid understanding of cloud applications and account security fundamentals
Excellent communication skills in English
Nice to Have
Prior experience in a threat research or detection engineering role
Familiarity with cybersecurity fundamentals such as behavioral analysis and threat detection
Experience with data science tools (Spark PySpark AWS Sagemaker Notebook Jupyter Notebook)
Background in building supervised and unsupervised machine learning models for anomaly detection and data classification
Exposure to large-scale SaaS security environments
Contributions to open-source projects or security research communities
Ability to thrive in a fast-paced global team environment
Work Environment
Location: Córdoba Argentina
Employment Type: Full-time
Collaborative global team environment with cross-functional interaction
Agile application development setting emphasizing adaptability and continuous improvement
Flexible work arrangements to support productivity and work-life balance
Culture rooted in values of innovation accountability and teamwork
View more
View less