Cybersecurity AI/ML Lead

Salary: $61,000 - 101,000 per year Requirements:

• We need 5+ years of experience, along with formal training or certification in security engineering concepts.
• We expect a working understanding of probability, statistics, and statistical distributions, applied to cybersecurity or technology risk use cases.
• We require advanced Python skills, including Pandas, SQL, and data visualization tools such as Matplotlib, Seaborn, or Plotly.
• We look for experience leading teams in the safe use of enterprise-authorized AI capabilities for security engineering workflows, including validation practices and awareness of data sensitivity.
• We need the ability to review and validate AI-assisted security recommendations before adoption, escalate uncertainty, and ensure outcomes align with security, resiliency, and auditability expectations.
• We expect experience using notebooks such as Jupyter, SageMaker, or VS Code to analyze data, document methods, and communicate results.
• We require working knowledge of Scikit-Learn for classification, regression, and clustering, plus machine learning or deep learning frameworks such as PyTorch.
• We need experience preparing complex datasets for modeling, including data cleaning, feature engineering, and data quality assessment.
• We expect the ability to explain model selection, interpretability, performance metrics, and limitations both verbally and in writing.
• We require proficiency with the Software Development Life Cycle, CI/CD practices, application resiliency, and secure software delivery.
• We value in-depth knowledge of the financial services industry and related IT systems.
• Preferred: a bachelors degree in Data Science, Mathematics, Statistics, Econometrics, Computer Science, or a related field, plus 3+ years of applied data science experience.
• Preferred: experience with TCP/IP networking, cybersecurity technologies, and security-related telemetry.
• Preferred: experience monitoring models in production and identifying data quality, drift, or performance issues.
• Preferred: experience deploying statistical or machine learning models in production environments, including AWS SageMaker.
• Preferred: working knowledge of large language models, natural language models, vector embeddings, and responsible AI practices such as fairness, reliability, and safety.

• We partner with stakeholders, business leaders, cybersecurity engineers, and data engineers to understand security needs, define use cases, and obtain the necessary data.
• We perform exploratory data analysis on security and technology datasets, identify meaningful patterns, and share findings with stakeholders.
• We select, develop, and evaluate statistical, machine learning, and deep learning models suited to cybersecurity use cases and business outcomes.
• We prepare model-ready datasets through feature engineering, data quality assessment, and other data preparation methods.
• We drive reuse-first adoption of enterprise-authorized AI capabilities within the work environment to speed up data architecture, model analysis, and strategic decision-making, while maintaining human validation and careful handling of sensitive data.
• We establish portfolio-level guardrails for AI-assisted and agentic workflows used in data engineering design and delivery, including traceability, auditability, and control expectations aligned to resiliency and security standards.
• We support model governance by documenting model selection, interpretability, testability, performance, limitations, and results.
• We design, build, review, debug, and maintain secure, high-quality production code for analytical and machine learning solutions.
• We contribute to security control effectiveness by applying industry insights, internal standards, and regulatory expectations to improve security processes and protocols.
• We help foster a team culture rooted in diversity, equity, inclusion, and respect.

• AI
• AWS
• CI/CD
• Support
• Jupyter
• Machine Learning
• Marketing
• PyTorch
• Python
• SQL
• Security
• TCP/IP
• VS Code
• pandas
• Cloud

More:

We are JPMorganChase, one of the oldest financial institutions, delivering innovative financial solutions to millions of consumers, small businesses, and leading corporate, institutional, and government clients under the J.P. Morgan and Chase brands. With more than 200 years of history, we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing, and asset management. We offer a competitive total rewards package, with base salary based on role, experience, skills, and location, and eligible roles may also receive commission-based pay and/or discretionary incentive compensation. Our benefits and programs may include comprehensive health care, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching, and more. We value diversity and inclusion, provide reasonable accommodations where needed, and our Corporate Functions team supports finance, risk, human resources, marketing, and other essential areas that help set our businesses, clients, customers, and employees up for success.

last updated 40 week of 2026