Cyber Intelligence Associate - Malware Reverse Engineer

Join our elite Cybersecurity Intelligence team and be at the forefront of innovative security strategies. In this dynamic role, you'll harness cutting-edge technology and intelligence to protect our digital landscape, making a real-world impact on global cybersecurity. Your expertise will shape the future of secure digital operations, safeguarding critical assets and fortifying our cyber defenses. As a Cybersecurity Intelligence Senior Associate in Cybersecurity & Tech Controls, Intelligence Operations Team, you will be an integral member of a team that specializes in analyzing malware targeting the firm and organizations around the world, while expanding the firm's cyber monitoring capabilities into new and exciting areas. We're looking for a self-motivated junior analyst with an insatiable curiosity toward all things cyber to join our team. You'll spend a majority of your time designing, developing, and building innovative capabilities, while also hunting threats, investigating anomalies, and analyzing malware, with mentoring provided by senior members of our team. Job responsibilities • Conduct advanced malware analysis and reverse engineering of suspicious code, leveraging deep expertise in cyberattack tactics, techniques, and procedures (TTPs) to investigate, assess, and mitigate security threatsone no • Develop malware detection signatures, automate analysis and intelligence-gathering processes, and proactively hunt for emerging malware samples, IOCs, and adversary TTPs across diverse data sources • Researching threats, vulnerabilities, and exploits to enhance monitoring and detection capabilities • Partnering with the Incident Response (IR) teams to understand incidents and support technical analysis of malicious cyber events • Documenting and presenting findings in comprehensive technical analysis reports • Communicating effectively with business representatives, technology specialists, and vendors • Assisting peer analysts in the production and dissemination of intelligence reports • Contributing technical expertise and Cybersecurity perspectives to discussions regarding JPMC global technology infrastructure • Uses enterprise-authorized AI capabilities within the work environment to accelerate threat research synthesis and risk assessment documentation, validating outputs and handling data according to sensitivity and security requirements. • Applies reuse-first, AI-assisted approaches to improve automation in threat detection and analysis workflows, ensuring outputs are validated and aligned to security expectations. Required qualifications, capabilities, and skills • Bachelor’s Degree in Computer Science, Cybersecurity, Data Science, or related disciplines • 2+ years of experience in cybersecurity intelligence, threat assessment, or security research, focusing on malware analysis / reverse engineering • Demonstrated experience using enterprise-authorized AI capabilities within the work environment to support threat intelligence and security research workflows with strong validation habits and awareness of data sensitivity. • Ability to review and validate AI-assisted intelligence findings and risk recommendations before use, escalating when uncertain and following security and data handling requirements. • Basic coding (scripting) experience (i.e. Python, C, JavaScript, VBScript, etc.) • Familiarity with Cloud platforms (i.e. AWS, Azure, etc.) and Virtualization technologies (i.e VMWare) • Experience with some of the following: SIEM, SOAR, OSINT, IDA Pro, Ghidra, BinaryNinja, Wireshark, Jupyter, SQL, YARA, AWS Lambda • A firm belief in doing what's right and following ethical practices • Foundational understanding of Forensics, Log Analysis, Incident Response and / or Threat and Fraud Intelligence • Knowledge in Operating Systems (i.e. Windows, Linux, Mac, Mobile), processor architectures (i.e. x86, x64), and computer networking • Strong written and verbal communication skills; ability to understand complex problems while formally presenting them simplistically