Intercontinental Exchange is seeking a Data Scientist 1 to analyze complex loan data sets to identify trends, develop data products, and drive business insights that inform clients' investment decisions and business strategies, aiming to drive growth in the loan market.
Requirements
- 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 databases and data systems.
- Experience with data visualization tools (e.g., Sigma, Tableau, Power BI).
- Experience with cloud computing platforms (e.g., AWS, Azure, Google Cloud, Snowflake).
- Familiarity with loan markets, loan products, and lending regulations.
Responsibilities
- 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.
- Communicate complex loan data insights and model results to non-technical stakeholders.
- Develop and present reports, dashboards, and visualizations to support business decisions.
- Design, develop, and maintain data pipelines and architectures to support loan data analysis and modeling.
- Stay up-to-date with industry trends, research, and developments in data science, machine learning, and related fields.
Other
- US Citizens only
- 3+ years of relevant work experience.
- Strong analytical and problem-solving skills, with the ability to analyze complex loan data sets and develop creative solutions.
- Excellent communication and collaboration skills, with the ability to work effectively with technical and non-technical stakeholders.
