Company:
Intercontinental Exchange Holdings, Inc.
Location: Atlanta
Closing Date: 21/10/2024
Hours: Full Time
Type: Permanent
Job Requirements / Description
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.
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.
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