You will be joining the Cyber Data Risk & Resilience team at Morgan Stanley as a Lead Data Scientist (Gen AI) in the Non-Financial Risk Technology division. Your role will involve building and executing complex surveillance models and scenarios to monitor and enforce the firm's information barriers. The Technology division focuses on leveraging innovation to build connections and capabilities that power the firm, enabling clients and colleagues to redefine markets and shape the future of communities.

• *Key Responsibilities:**
• Develop and maintain cutting-edge analytic models and detections to help defend Morgan Stanley networks
• Analyze large, complex datasets using data mining, statistical methods, segmentation, algorithm design, and implementation
• Utilize tools such as Python, PySpark, Elastic, Kibana, and GPUs for software development and data analysis
• Develop, deploy, and sustain Machine learning capabilities focused on Proactive Threat Hunting and Insider Threat detection
• Contribute expertise in threat hunting, threat intelligence, malware analysis, and data analysis to a global team
• Analyze data to develop models associated with cyber tactics, techniques, and procedures
• Evaluate threats and countermeasures to enhance the overall security posture of the firm
• Work with customers to gather requirements and distill them into complete solutions
• *Qualifications Required:**
• 12+ years of experience with a minimum of 8 years directly in building models using Machine learning and AI, and 2+ years working in GenAI and LLMs
• Experience leading technical teams, preferably in a global environment
• Strong experience with Open-Source analytic techniques and development
• Ability to work with large datasets and analyze host, file, or network-based logs
• Proficiency in Python programming
• Strong quantitative and problem-solving skills

Morgan Stanley is a global leader in financial services, known for evolving and innovating to better serve clients and communities in more than 40 countries worldwide. As an equal opportunity employer, Morgan Stanley is committed to building and maintaining a diverse workforce where individuals are hired, developed, and advanced based on their skills and talents. The company values inclusion, diversity, and a culture that supports employees and their families at every point along their work-life journey. You will be joining the Cyber Data Risk & Resilience team at Morgan Stanley as a Lead Data Scientist (Gen AI) in the Non-Financial Risk Technology division. Your role will involve building and executing complex surveillance models and scenarios to monitor and enforce the firm's information barriers. The Technology division focuses on leveraging innovation to build connections and capabilities that power the firm, enabling clients and colleagues to redefine markets and shape the future of communities.

• *Key Responsibilities:**
• Develop and maintain cutting-edge analytic models and detections to help defend Morgan Stanley networks
• Analyze large, complex datasets using data mining, statistical methods, segmentation, algorithm design, and implementation
• Utilize tools such as Python, PySpark, Elastic, Kibana, and GPUs for software development and data analysis
• Develop, deploy, and sustain Machine learning capabilities focused on Proactive Threat Hunting and Insider Threat detection
• Contribute expertise in threat hunting, threat intelligence, malware analysis, and data analysis to a global team
• Analyze data to develop models associated with cyber tactics, techniques, and procedures
• Evaluate threats and countermeasures to enhance the overall security posture of the firm
• Work with customers to gather requirements and distill them into complete solutions
• *Qualifications Required:**
• 12+ years of experience with a minimum of 8 years directly in building models using Machine learning and AI, and 2+ years working in GenAI and LLMs
• Experience leading technical teams, preferably in a global environment
• Strong experience with Open-Source analytic techniques and development
• Ability to work with large datasets and analyze host, file, or network-based logs
• Proficiency in Python programming
• Strong quantitative and problem-solving skills

Morgan Stanley is a global leader in financial services, known for evolving and innovating to better serve clients and communities in more than 40 countries worldwide. As an equal opportunity employer, Morgan Stanley is committed to building and maintaining a diverse workforce where individuals are hired, developed, and advanced based on their skills and talents. The company values inclusion, diversity, and a culture that supports employees and their families at every point along their work-life journey.