Cybersecurity AI/ML Lead - Data Scientist

As a Cybersecurity AI/ML Lead - Data Scientist - Data Scientist at JPMorgan

Chase within the Cybersecurity & Technology Controls, you will be an integral

part of a team that develops advanced analytical and machine learning solutions

to address complex cybersecurity and technology risk challenges. As a core

technical contributor, you will help design and deliver scalable, auditable, and

data-driven solutions that support our Cyber Operations teams.

You'll be conducting data analysis, statistical modeling, machine learning, and

deep learning techniques to solve cybersecurity and technology risk problems.

You will be able to prepare and analyze complex datasets, develop and evaluate

models, and communicate findings clearly to technical and business stakeholders.

You'll understand when Generative AI, transformer architectures, and related

techniques are appropriate for applied security use cases.

Job 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.

Required qualifications, capabilities, and skills

* Obtain 5 plus years of experience with formal training or certification in

security engineering concepts

* Working knowledge of probability, statistics, statistical distributions, 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.

Preferred qualifications, capabilities, and skills

* Bachelor’s degree in Data Science, Mathematics, Statistics, Econometrics,

Computer Science, or a related field, plus 3+ years of applied data science

experience.

* Experience with TCP/IP networking, cybersecurity technologies, and

security-related telemetry.

* Experience monitoring models in production and identifying data quality,

drift, or performance issues.

* Experience deploying statistical or machine learning models in production

environments, including AWS SageMaker.

* Working knowledge of Large Language Models, natural language models, vector

embeddings, and responsible AI practices such as fairness, reliability, and

safety.

#CTC

JPMorganChase, one of the oldest financial institutions, offers innovative

financial solutions to millions of consumers, small businesses and many of the

world’s most prominent corporate, institutional and government clients under the

J.P. Morgan and Chase brands. Our history spans over 200 years and today 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 including base salary determined

based on the role, experience, skill set and location. Those in eligible roles

may receive commission-based pay and/or discretionary incentive compensation,

paid in the form of cash and/or forfeitable equity, awarded in recognition of

individual achievements and contributions. We also offer a range of benefits and

programs to meet employee needs, based on eligibility. These benefits include

comprehensive health care coverage, on-site health and wellness centers, a

retirement savings plan, backup childcare, tuition reimbursement, mental health

support, financial coaching and more. Additional details about total

compensation and benefits will be provided during the hiring process.

We recognize that our people are our strength and the diverse talents they bring

to our global workforce are directly linked to our success. We are an equal

opportunity employer and place a high value on diversity and inclusion at our

company. We do not discriminate on the basis of any protected attribute,

including race, religion, color, national origin, gender, sexual orientation,

gender identity, gender expression, age, marital or veteran status, pregnancy or

disability, or any other basis protected under applicable law. We also make

reasonable accommodations for applicants’ and employees’ religious practices and

beliefs, as well as mental health or physical disability needs. Visit our FAQs

[https://careers.jpmorgan.com/us/en/how-we-hire/faqs] for more information about

requesting an accommodation.

JPMorgan Chase & Co. is an Equal Opportunity Employer, including

Disability/Veterans

Our professionals in our Corporate Functions cover a diverse range of areas from

finance and risk to human resources and marketing. Our corporate teams are an

essential part of our company, ensuring that we’re setting our businesses,

clients, customers and employees up for success.