Morgan Stanley's Cyber Fraud Analytics and Intelligence team is seeking an experienced analyst to provide accurate, consistent, and timely analysis and intelligence to enable the organization to identify, protect, detect, respond, and proactively prevent cyber enabled fraud using an evidence-based data-driven approach. The role will involve collecting, communicating, and disseminating intelligence, and building analytics to help investigate and prevent attacks against the Firm.
Requirements
- Experience with scripting (Python, Bash, etc) for automation, Elastic and Kibana for large scale data aggregation and analysis.
- Threat Hunting experience using Sigma and Yara.
- Schema generation and data normalization for new datasets.
- Knowledge of cyber enabled fraud threats, techniques and tooling.
- strong skillset in python analytic development
- threat hunting with various technologies
- ability to conduct log data analysis and aggregation from a variety of internal and external sources
Responsibilities
- Monitoring and response to cyber fraud feeds, triage of alerts and timely escalation to relevant times and stakeholders.
- Develop, implement and maintain cyber fraud analytics, procedures and best practices to align with policy and the team’s mission.
- Conducting cyber fraud intelligence related research into TTP, identification of IOCs, wider trend analysis and threat actor profiling.
- Distilling and contextualizing disparate data sources and information into concise reports and assessments for both technical and non-technical audiences.
- Coordinating with various responses and investigation teams to respond to various issues and incidents in a timely and consistent manner.
- Experience with scripting (Python, Bash, etc) for automation, Elastic and Kibana for large scale data aggregation and analysis.
- Threat Hunting experience using Sigma and Yara.
Other
- Up to 5+ years of experience cyber security or fraud with a focus on data analytic development utilizing a variety of programming, scripting and query languages.
- Knowledge and experience in dealing with blockchain and cryptocurrency.
- Excellent communication, and interpersonal skills.
- Ability to manage multiple priorities in a fast-paced corporate environment.
- Strong problem-solving and analytical skills with attention to detail.
