Lead Security Engineer - Data Scientist

Key Skills

AWS Sagemaker, Cybersecurity, Data Analysis, Data science techniques, Data Visualization, Deep Learning, FastAPI, Flask, Jupyter Notebook, Keras software library, Machine learning techniques, matplotlib, Pandas, plotly, PyTorch, SQL, TensorFlow

Job Description

Cybersecurity is one of the highest growth areas within JPMorgan and has a unique opportunity to develop and deploy Machine Learning solutions that support Cyber Operations. You will be part of a world-class global Cybersecurity team and work along side technologists and innovators who work every day to protect the assets we manage.

As a member of the Cyber Technology and Controls Product team you will be part of a highly motivated team that focuses on analyzing data and creating and delivering Machine Learning solutions that will protect the firm from a variety of cyber-related threats.

Responsibilities

• Engage with cybersecurity domain experts to understand business goals and use cases related to using real-world data to solve business problems
• 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
• Document measurements required to detect model or data drift in a Production setting
• Perform model governance activities for model interpretability, testability and results

Required

• Formal training or certification on Data Science and cybersecurity concepts and 5+ years data-science experience
• 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 probability, statistics and statistical distributions and their applicability to use cases
• Working knowledge of Scikit-Learn for development of classification, regression and clustering models
• Deep Learning frameworks such as Keras, Tensorflow or PyTorch
• Experience with classification and regression trees (Random Forest, XGBoost, AdaBoost)
• Experience with feature engineering complex datasets
• Possess the ability to explain model selection, model interpretability and performance metrics verbally and in writing.

Preferred

• Experience deploying Statistical or Machine Learning models in a production setting
• Experience with model monitoring and understanding data quality issues
• Experience creating synthetic datasets
• Development of REST APIs using tools such as Flask or FastAPI
• Working knowledge of Responsible AI, model fairness, and reliability and safety

ABOUT US

JPMorgan Chase & Co., 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. For those in eligible roles, we offer discretionary incentive compensation which may be awarded in recognition of firm performance and 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 is an Equal Opportunity Employer, including Disability/Veterans