Job Purpose
Intercontinental Exchange is seeking a Data Scientist 1 to join our Loan Data team. As a Data Scientist 1, you will play a critical role in analyzing complex loan data sets to identify trends, develop data products, and drive business insights that inform our clients' investment decisions and business strategies. You will work closely with our team to design, develop, and implement data-driven solutions that meet the evolving needs of our clients and drive growth in the loan market.
Intercontinental Exchange (ICE) is a global network of exchanges and clearing houses that operates a range of markets, including financial, agricultural, and energy. Our exchanges, including the New York Stock Exchange (NYSE), ICE Futures, and ICE Clear, provide a platform for buyers and sellers to trade and manage risk. We are committed to delivering innovative solutions that meet the evolving needs of our clients and drive growth in the global economy.
Responsibilities
- Loan Data Analysis:
- 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.
- Insight Generation:
- 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.
- Data Engineering:
- Design, develop, and maintain data pipelines and architectures to support loan data analysis and modeling.
- Collaborate with data engineers to implement data solutions and integrate with existing systems.
- Research and Development:
- Stay up-to-date with industry trends, research, and developments in data science, machine learning, and related fields.
- Explore new technologies, tools, and methodologies to enhance existing loan data solutions and models.
Knowledge and Experience
- Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Data Science, or a related field.
- 3+ years of relevant work experience.
- 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.
- 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.
Preferred Knowledge and Experience
- 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.
