Build and maintain behavior-based detections that identify adversary activity through sequences, relationships, and deviations across identity, endpoint, cloud, network, and application telemetry.
Translate attacker techniques, malware behaviors, and adversary tradecraft into testable, explainable, and durable detection logic using a detection-as-code approach.
Define telemetry, enrichment, and normalization requirements needed to improve signal quality, close coverage gaps, and support scalable detection outcomes in a cloud environment.
Apply statistical methods, machine learning techniques, and Python-based analytical workflows to develop behavioral models, engineering features, and improve precision detection and operational actionability.
Validate suspicious behaviors using digital forensics and incident response methods to distinguish malicious activity from benign anomalies, misconfigurations, and expected operational patterns.
Partner with security operations, incident response, and detection engineering teams to operationalize detections with triage guidance, severity rationale, playbook alignment, and MITRE ATT&CK classification and coverage reporting.
Use external threat intelligence as prioritization context while ensuring detections are grounded in observable behavior and telemetry within the enterprise environment.
Responsibilities listed are not intended to be all-inclusive and may be modified as necessary.
Experience you'll need to have:
8+ years of experience in detection engineering, proactive threat hunting, digital forensics and incident response, malware analysis, reverse engineering, threat research, red teaming, purple teaming, advanced security operations, or a combination of these domains.
8+ years of experience building behavior-based detections across large-scale enterprise telemetry using correlation, sequence analysis, behavioral analytics, and operational detection logic.
8+ years of experience using digital forensics and incident response methods across host, identity, cloud, and network investigations to validate suspicious activity and improve detection fidelity.
8+ years of experience applying Python for data analysis, automation, feature engineering, and repeatable analytical workflows in cybersecurity use cases.
6+ years of experience applying statistical modeling, machine learning methods, or comparable analytical techniques to security telemetry, including baselining, outlier detection, clustering, time-series analysis, behavioral scoring, or graph-based analysis.
Experience using AI-assisted development tools with validation, testing, reproducibility, and secure coding practices in analytics, automation, or detection development workflows.
Bachelor's degree or higher in Computer Science, Cybersecurity, Information Security, Engineering, Data Science or related field or equivalent combination of education, related experience and/or military experience.
Experience that would be great to have:
Experience with Google SecOps or Chronicle detection content development, data modeling, and telemetry analysis.
Experience integrating security tools through application programming interfaces (APIs) and building internal services, signal pipelines, or workflow automation solutions.
Familiarity with detection-as-code practices, including Git, continuous integration and continuous delivery (CI/CD), testing, and code review.
Additional Information
Calling all innovators - find your future at Fiserv.
We're Fiserv, a global leader in Fintech and payments, and we move money and information in a way that moves the world. We connect financial institutions, corporations, merchants and consumers to one another millions of times a day - quickly, reliably, and securely. Any time you swipe your credit card, pay through a mobile app, or withdraw money from the bank, we're involved. If you want to make an impact on a global scale, come make a difference at Fiserv.
Job Title
Cyber Threat Hunter
About your role:
As a Cyber Threat Hunter, you will serve as a senior individual contributor within Cyber Security Operations, building behavior-based detection capabilities that identify adversary activity before incidents become material. You will turn enterprise telemetry into high-confidence signals and durable detections using inside-out intelligence, data science, and AI-enabled development workflows. You will partner closely with detection engineering, security operations, and incident response teams in a cloud environment, with a primary focus on proactive detection development and signal engineering.
Fiserv · Berkeley Heights, NJ