Data Scientist Lead - Cyber Security

As a Lead Security Engineer at JPMorgan Chase within the Cybersecurity and Technology Controls line of business, you will be an integral part of a team that works to deliver Machine Learning solutions for detection and prevention of misuse, circumvention, and malicious behavior. This role combines advanced data science expertise with cybersecurity focus, requiring strong skills in statistical analysis, machine learning, and security engineering.

The position demands expertise in data analysis workflows, statistical distributions, and both supervised and unsupervised learning models. You'll work with cutting-edge technologies including Generative AI models and transformer architectures, applying them to solve complex security challenges. Your responsibilities will span from stakeholder collaboration to model development and governance.

The role offers an opportunity to work with one of the world's largest financial institutions, applying AI/ML techniques to enhance cybersecurity measures. You'll be part of a team that develops and implements sophisticated security solutions while ensuring compliance with industry regulations and best practices.

Key technical requirements include proficiency in Python, SQL, and modern ML frameworks, along with experience in feature engineering and model deployment. The position offers competitive compensation, comprehensive benefits, and the chance to work on impactful projects that protect critical financial infrastructure.

This is an excellent opportunity for a seasoned professional looking to combine data science expertise with cybersecurity in a role that offers both technical challenges and business impact. The position provides exposure to cutting-edge AI/ML applications in security, backed by the resources and scale of a global financial leader.