FIRST BANK OF THE LAKE is looking to create models and algorithms to assist a team of underwriters in making lending decisions across the credit spectrum of small and medium-sized businesses.
Requirements
- Experience with PostgreSQL or MySQL.
- Experience with R or Python.
- Experience with explainable machine learning methodologies.
- Experience with Agile development methodologies.
- Perform ETL, data mining, data analysis and data visualization.
- Perform AWS or other similar cloud platforms.
- Utilize statistical and machine learning tools
Responsibilities
- Create models and algorithms to assist a team of underwriters in making lending decisions across the credit spectrum of small and medium-sized businesses.
- Investigate new data sources to determine the incremental predictive value of the new data relative to existing sources.
- Discover insights from untapped and unstructured data sources, translate findings into clear, actionable strategies and implement data-driven solutions for business enhancement.
- Research new statistical methodologies that may improve the performance of our credit risk scoring models.
- Utilize and create ETL pipelines to ingest data from external parties and create interface to communicate model/analysis results with backend systems.
- Implement rigorous data validation and cleansing processes to maintain high data quality standards.
- Collaborate with engineers to integrate data science tools to facilitate business operations and contribute to building an efficient and scalable infrastructure.
Other
- Masters degree in Mathematics, Statistics, Computer Science, Business Analytics or closely related field.
- 2 years of experience in a finance-related data science role.
- Telecommuting is permitted.
- Collaborate with underwriters to set loan terms for applicants given default risk, reflecting interpretation of a complex and diverse mix of credit and financial data.
- Communicate technical findings to non-technical audiences.
