DESCRIPTION: Duties: Work collaboratively with cross-functional partners to understand and address key business challenges while identifying novel solutions to complex problems that impact multiple lines of business. Leverage modern data science/analytics techniques to mine large amounts of complex data stored in big data environments, spanning multiple sources and lines of business, to develop and implement new attributes and insights for use across risk management and fraud. Analyze new and existing attributes to identify areas of opportunity to drive incremental revenue, decrease expenses, and/or reduce losses across the business line, and improve operational efficiency. Partner with stakeholders to drive implementation of application attributes into line of business strategies and models for risk management and fraud mitigation. Learn and adopt new techniques for solving new business challenges. Provide subject matter expertise support to teammates and stakeholders to ensure application attributes are appropriately interpreted and utilized across the business. QUALIFICATIONS: Minimum education and experience required: Master's degree in Business Analytics, Econometrics, Statistics, or related quantitative field of study plus 1 year of experience in the job offered or as Data Scientist, Data Engineer, Data Analyst, or related occupation. The employer will alternatively accept a Bachelor's degree in Business Analytics, Econometrics, Statistics, or related quantitative field of study plus 3 years of experience in the job offered or as Data Scientist, Data Engineer, Data Analyst, or related occupation. Skills Required: This position requires one (1) year of experience with the following: Developing and optimizing data solutions using SQL, Python, Snowflake Data Cloud, and AWS; Utilizing data modeling and feature engineering techniques including normalization, regularization, polynomial feature generation, rolling average, and k-means clustering; Manipulating and managing large data sets across platforms to ensure data integrity, and accessibility; Executing ETL processes using Python, PySpark, and SQL; Performing statistical analysis including univariate and bivariate statistics, central tendencies, dispersions, chi-square test, and ANOVA to create actionable management insights from data; Leveraging supervised machine learning including linear regression, logistic regression, and decisions trees to find key drivers and estimate outcomes; Using natural language processing including automated matching and string similarity to build features from unstructured data; Leveraging Excel, python, and visualization tools in PowerBI and Tableau to create charts and user dashboards that augment and enrich analytical insights; Advising senior leadership in technical presentations by providing data-driven recommendations that guide decision-making processes. Job Location: 480 Washington Blvd, Jersey City, NJ 07310. Full-Time. Salary: $137,000 - $170,000 per year. 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, discretionary incentive compensation which may be 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. In addition, please visit: https://careers.jpmorgan.com/us/en/about-us.