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.
