Security AI/ML Lead & Data Scientist

JPMorgan Chase & Co.; McLean (VA); On-site; USD 140,000 - 210,000; Full time

Job summary

JPMorgan Chase & Co. Cybersecurity & Technology Controls is seeking a Cybersecurity AI/ML Lead - Data Scientist to develop advanced analytical and machine learning solutions for cybersecurity and technology risk challenges.

You will design scalable, auditable, data-driven solutions that support our Cyber Operations teams. You’ll analyze data, build and evaluate models, and communicate results to technical and business stakeholders.

Qualifications

• 5+ years of experience with security engineering concepts.
• Working knowledge of probability, statistics, and their application to cybersecurity or technology risk use cases.
• Advanced Python skills, including Pandas, SQL, and data visualization tools such as Matplotlib, Seaborn, or Plotly.
• Experience leading teams in the safe use of enterprise-authorized AI capabilities within the work environment for security engineering workflows, including validation habits and awareness of data sensitivity.
• Ability to review and validate AI-assisted security recommendations before adoption, escalating uncertainty and ensuring outcomes align to security, resiliency, and auditability expectations.
• Experience using notebooks such as Jupyter, SageMaker, or VS Code to analyze data, document methods, and communicate results.
• Working knowledge of Scikit-Learn for classification, regression, and clustering models, plus machine learning or deep learning frameworks such as PyTorch.
• Experience preparing complex datasets for modeling, including data cleaning, feature engineering, and data quality assessment.
• Ability to explain model selection, interpretability, performance metrics, and limitations verbally and in writing.
• Proficiency with Software Development Life Cycle, CI/CD practices, application resiliency, and secure software delivery.
• In-depth knowledge of the financial services industry and related IT systems.

Responsibilities

• Partner with stakeholders, business leaders, cybersecurity engineers, and data engineers to understand security needs, define use cases, and acquire the data required to address them.
• Perform exploratory data analysis on security and technology datasets, identify meaningful patterns, and communicate findings to stakeholders.
• Select, develop, and evaluate statistical, machine learning, deep learning models that are appropriate for cybersecurity use cases and business outcomes.
• Prepare model-ready datasets through feature engineering, data quality assessment, and other data preparation techniques.
• Leads reuse-first adoption of enterprise-authorized AI capabilities within the work environment to accelerate data architecture and model analysis and strategic decisioning, with human-in-the-loop validation and appropriate handling of sensitive data.
• Establishes 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.
• Support model governance by documenting model selection, interpretability, testability, performance, limitations, and results.
• Design, build, review, debug, and maintain secure, high-quality production code for analytical and machine learning solutions.
• Contribute to security control effectiveness by applying industry insights, internal standards, and regulatory expectations to improve security processes and protocols.
• Add to a team culture of diversity, equity, inclusion, and respect.

Skills

Python

Pandas

SQL

Data visualization

Scikit-Learn

PyTorch

Jupyter

SageMaker

VS Code

Matplotlib

Seaborn

Plotly

Statistics

Model interpretability

CI/CD

Security engineering concepts

Explainability

Education

Bachelor’s degree in Data Science, Mathematics, Statistics, Econometrics, Computer Science, or related field

Tools

Plotly

Matplotlib

Seaborn

SageMaker

Jupyter

VS Code

Job description

JPMorgan Chase & Co. Cybersecurity & Technology Controls is seeking a Cybersecurity AI/ML Lead - Data Scientist to develop advanced analytical and machine learning solutions for cybersecurity and technology risk challenges.

You will design scalable, auditable, data-driven solutions that support our Cyber Operations teams. You’ll analyze data, build and evaluate models, and communicate results to technical and business stakeholders.