JPMorgan Chase is looking to deliver secure software solutions and prevent misuse, circumvention, and malicious behavior, while shaping the future of software security
Requirements
- Formal training or certification on AI/ML concepts and 5+ years applied experience
- Proficiency in languages commonly used in AI/ML, such as Python, R, and Java, optionally C/C++
- Experience with full stack development languages: JavaScript, HTML, CSS, and frameworks such as Node.js, React, or Angular
- Understanding of machine learning algorithms and techniques, including supervised and unsupervised learning, deep learning, and reinforcement learning
- Experience with ML frameworks and libraries such as TensorFlow, PyTorch, scikit-learn, and Keras
- Skilled in planning, designing, and implementing enterprise level security solutions
- Understanding of UX/UI design principles
Responsibilities
- Executes creative security solutions, design, development, and technical troubleshooting with the ability to think beyond routine or conventional approaches to build solutions and break down technical problems
- Develops secure and high-quality production code and reviews and debugs code written by others
- Minimizes security vulnerabilities by following industry insights and governmental regulations to continuously evolve security protocols, including creating processes to determine the effectiveness of current controls
- Conducts discovery, vulnerability, penetration testing, and threat scenarios on multiple organizational assets to identify and assess if vulnerabilities are present, and executes threat modeling for multiple applications including external applications interacting with the internal JPMorgan Chase network
- Works with stakeholders and business leaders to understand security needs and recommend business modifications during periods of vulnerability
- Adds to team culture of diversity, equity, inclusion, and respect
- Builds responsive and interactive user interfaces using modern frontend frameworks and libraries
Other
- 5+ years of applied experience
- Formal training or certification
- Relevant certifications in AI/ML, cloud computing, or fullstack development preferred
- Experience effectively communicating with senior business leaders
- Adds to team culture of diversity, equity, inclusion, and respect
