Overview Job Purpose Responsible for analyzing large mortgage and real estate data sets for ICE Data and Analytics to produce data products and custom analytics tools. Responsibilities include developing data use cases, research, and new products that will support our client’s portfolio growth and retention strategies. Responsibilities Stakeholder Engagement: Work with stakeholders throughout the organization to identify opportunities for leveraging company data and advanced analytics to drive business solutions Product Research & Development: Work closely with Research and Development on the application and product development. Provides consulting and analysis to clients using these tools. Data Insight Generation: Demonstrate analysis and findings to customers and clients to develop use cases. Innovation: Assess the effectiveness and accuracy of new data sources and data gathering techniques Data Analysis and Modeling: Develop custom data models and algorithms Data Visualization and Storytelling: Create data visualizations and dashboards that showcase model performance Communication: Coordinate with different functional teams to implement models and monitor outcomes Continuous Improvement: Develop processes and tools to monitor and analyze model performance and data accuracy Knowledge And Experience Bachelor’s degree in Statistics, Mathematics, Computer Science, or another quantitative field or the equivalent combination of education, training, or work experience Requires up to 3+ years of data science or related experience in developing mathematical formulas, financial models, and computer programs experience Experience using statistical computer languages (Python, SQL, R, etc.) to manipulate data and draw insights from large data sets Preferred Master’s degree or PHD in Data Science, Statistics, Mathematics, Computer Science, or another quantitative field Experience manipulating data sets and building statistical models Experience building and maintaining ETL pipelines Experience creating and using advanced Artificial Intelligence (AI) and/or Machine Learning (ML) algorithms and statistics Experience with distributed data/computing tools: Spark or PySpark Experience visualizing/presenting data for stakeholders using Python visualization libraries, Tableau, Power BI or similar tools Advanced skills in Python/ Pandas. Understanding of financial data (loan, mortgage, credit card data, etc.) is a plus Effective written and verbal communication skills for communicating and evangelizing analytics solutions with customers. Schedule This role offers work from home flexibility of one day per week. #LI-BM1 Intercontinental Exchange, Inc. is an Equal Opportunity and Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity, national origin or ancestry, age, disability or veteran status, or other protected status.