Associate Data Scientist

Intercontinental Exchange is a global network of exchanges and clearing houses, and they are seeking a Data Scientist I to join their Loan Data team. The role involves analyzing complex loan data sets, developing data products, and driving business insights to inform clients' investment decisions and strategies.

What you'll do:

• Collect, process, and analyze large loan data sets from various sources (e.g., loan origination systems, servicing platforms)
• Identify trends, patterns, and anomalies in loan data using statistical techniques and data visualization tools
• Develop and maintain databases and data systems to support loan data analysis and modeling
• Monitor and assess the quality of loan data across internal and external sources
• Identify data quality issues, anomalies, and inconsistencies through analysis and validation checks
• Partner with data providers, clients, developers, and stakeholders to investigate root causes and drive issue remediation
• Contribute to the development of data quality rules, monitoring processes, and controls
• Document data quality issues and track resolution progress
• Communicate complex loan data insights and model results to non-technical stakeholders
• Develop and present reports, dashboards, and visualizations to support business decisions
• Collaborate with stakeholders to identify business problems and develop data-driven solutions
• Design, develop, and maintain data pipelines and architectures to support loan data analysis and modeling

What they're looking for:

• Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Data Science, or a related field
• Proficiency in programming languages (e.g., Python, R, SQL) and software tools (e.g., pandas, NumPy, scikit-learn)
• Experience with loan data analysis, machine learning, and data visualization
• Familiarity with relational database tools and environments such as SSMS, along with exposure to modern data platforms such as Databricks or Snowflake
• Experience with AI-assisted development and analytics tools and ability to incorporate them into data analysis and workflow processes
• Strong analytical and problem-solving skills, with the ability to analyze complex loan data sets and develop creative solutions
• Experience with data visualization tools (e.g., Sigma, Tableau, Power BI)
• Excellent communication and collaboration skills, with the ability to work effectively with technical and non-technical stakeholders
• Master's or Ph.D. in Computer Science, Statistics, Mathematics, Data Science, or a related field
• Certified Data Scientist (CDS), Certified Analytics Professional (CAP), or other relevant certifications
• Experience with cloud computing platforms (e.g., AWS, Azure, Google Cloud, Snowflake)
• Familiarity with loan markets, loan products, and lending regulations