Data Analytics Developer, AVP, Credit and Insurance

What you'll do

• Analyze, design, implement, test, debug, and deploy scalable data-driven analytics tools for the Credit & Insurance platform.
• Transform unstructured and unclean data into organized formats suitable for data science applications.
• Build interactive dashboards and applications focused on portfolio risk characteristics for internal managers and external clients.
• Use Python and SQL to develop a clean, scalable codebase for analytical models and data insights.
• Create interactive data visualization tools using business intelligence software such as Sigma and Tableau.
• Implement and extend core system architecture and data warehouses using Snowflake and AWS.
• Apply data science, statistics, and programming to identify alpha in complex credit and structured security markets.
• Design core data analytics models with a focus on reusability, processing performance, and data accuracy.

What we're looking for

• Bachelor's or Master's degree in a STEM domain such as Engineering, Computer Science, or Data Science.
• 3+ years of experience in a data analytics or data science role.
• Proficiency in SQL and Python programming to build clean, scalable code bases for analytics platforms.
• Expertise in database architecture design, performance optimization, and designing optimal data structures for financial datasets.
• Proficiency in business intelligence applications such as Sigma and Tableau to build large-scale visualization platforms.
• Familiarity with big data analytical techniques and cloud technologies including Amazon Web Services (AWS) and Snowflake.
• Knowledge of math and statistics to implement financial simulation models and understand security/fund risk methodologies.
• Experience with fixed income investment strategies (preferred).
• Experience with web-based application development in React and Typescript with AWS infrastructure (Terraform) (preferred).