Lead Security Engineer - Data Scientist

Job Description
As a Lead Security Engineer at JPMorgan Chase within the Cybersecurity and Technology Controls line of business, you are an integral part of team that works to deliver Machine Learning solutions that satisfy pre-defined functional and user requirements with the added dimension of detection and prevention of misuse, circumvention, and malicious behavior. As a core technical contributor, you are responsible for carrying out critical technology solutions with tamper-proof, audit defensible methods across multiple technical areas within various business functions.
Preferred candidates will have a strong working knowledge of common workflows for data analysis, data preparation and model development. They must have a working knowledge of data analysis and manipulation tools, statistics (e.g. statistical distributions and probability) and have experience with applying supervised and unsupervised learning models to solve well defined problems. They should possess the ability to develop statistical and Deep Learning models, measure their outcomes and be able to interpret them for business stakeholders. Candidates should have a working knowledge of Generative AI models, transformer architectures and when to apply these tools and techniques.
Job responsibilities

• Works with stakeholders and business leaders to understand security needs and recommend business modifications during periods of vulnerability.
• Work with cybersecurity engineers and data engineers to acquire data that addresses each use case (fraud, anomaly detection, Cyber threats).
• Perform Exploratory Data Analysis on datasets and communicate results to stakeholders.
• Select statistical or Deep Learning models that are best positioned to achieve business results.
• Perform feature engineering or hyperparameter tuning to optimize model performance.
• Perform model governance activities for model interpretability, testability and results.
• 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.
• Adds to team culture of diversity, equity, inclusion, and respect.

Required qualifications, capabilities, and skills

• Formal training or certification on security engineering concepts and 5+ years applied experience.
• Advanced in one or more programming languages
• Proficient in all aspects of the Software Development Life Cycle
• Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
• In-depth knowledge of the financial services industry and their IT systems
• Working knowledge of probability, statistics and statistical distributions and their applicability to use cases and the ability to perform Exploratory Data Analysis using Jupyter or SageMaker Notebooks
• Proficient in Pandas, SQL and Data Visualization tools such as Matplotlib, Seaborn or Plotly
• Working knowledge of Scikit-Learn for development of classification, regression and clustering models and Deep Learning frameworks such as Keras, Tensorflow or PyTorch
• Experience with feature engineering complex datasets.
• Possess the ability to explain model selection, model interpretability and performance metrics verbally and in writing.

Preferred qualifications, capabilities, and skills

• Experience deploying Statistical or Machine Learning models via AWS SageMaker in a production setting
• Working knowledge of Large Language Models (LLM), NLP, Embeddings and Retrieval Augmented Generation (RAG)
• Experience with model monitoring and understanding data quality issues
• Experience with Retrieval Augmented Generation (RAG) applications and the frameworks used to create them such as Langchain or Llamaindex
• Working knowledge of Responsible AI, model fairness, and reliability and safety
• Bachelor's egree in Data Science, Mathematics, Statistics, Econometrics or Computer Science and 3+ years data-science experience (Exploratory Data Analysis, statistical analysis and reporting results).

About Us
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 for more information about requesting an accommodation.
JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans
About the Team
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.