Your seniority as a security engineer puts you in the ranks of the top talent in your field. Play a critical role at one of the world's most iconic financial institutions where security is vital.

As a Security Engineer III at JPMorganChase within the Cybersecurity and Technology Controls line of business, you serve as a seasoned member of a team that works to deliver software solutions that satisfy pre-defined functional and user requirements with the added dimension of preventing misuse, circumvention, and malicious behavior. Carry out critical technology solutions with tamper-proof, audit defensible methods across multiple technical areas within various business functions in support of the firm’s business objectives

Job responsibilities

 

Executes security solutions design, development, and technical troubleshooting with the ability to apply knowledge of existing security solutions to satisfy security requirements for internal clients (e.g., product, platform, application owners)Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systemsApplies specialized tools (e.g., vulnerability scanner) to analyze and correlate incident data to identify, interpret, and summarize the probability and impact of threats when determining specific vulnerabilitiesLeads delivery of continuity-related awareness, training, educational activities, and exercisesAdds to team culture of diversity, opportunity, inclusion, and respectModel Development: Design and implement custom data models and algorithms for cybersecurity, using A/B testing to evaluate model quality.Advanced AI Techniques: Apply cutting-edge AI/ML/DL methods, including Generative AI, Transfer Learning, and Reinforcement Learning, to enhance cyber data analysis.LLM Tools and Development: Lead the selection, fine-tuning, and application development of large language models (LLMs), focusing on innovative LLM-backed applications and advanced methods like Retrieval-Augmented Generation (RAG).Collaboration and Implementation: Work with various teams to implement models, monitor outcomes, and ensure data accuracy.Innovation and Custom Solutions: Design experiments to push LLM capabilities and develop solutions for sparse-data situations. Create custom models when existing ones are insufficient.Security and Risk Management: Facilitate security requirements, recommend business modifications during vulnerabilities, and manage resources based on risk assessments

 

Required qualifications, capabilities, and skills

 

Formal training or certification on Software Engineering concepts and 3+ years applied experienceExperience developing security engineering solutionsProficient in coding in one of more languagesOverall knowledge of the Software Development Life CycleSolid understanding of agile methodologies such as CI/CD, application resiliency, and securityProficiency in developing ML pipelines and using a wide range of algorithms, including deep learning models like CNN, RNN, LSTM, GRU, BERT, and more.Strong backend and frontend development skills, with experience in cloud environments (AWS, Google Cloud, Azure).Expertise in Python, SQL, and Spark for large-scale applications.Advanced knowledge of statistical techniques and machine learning algorithms.Experience in enterprise-level security solutionsPreferred qualifications, capabilities, and skills

 

Proficiency in managing GPU resources in frameworks like PyTorch or TensorFlow.Experience with cloud-native development, CI/CD pipelines, and Agile methodology.Familiarity with distributed computing tools like Map/Reduce, Hadoop, and Spark.Experience with LLM development and wrapper languages, such as OpenAI and LangChain.Proven ability to apply AI to comprehensive and practical technology solutions.