Analyst I, Full Stack

Master’s degree (or foreign equivalent) in Business Analytics, Financial Engineering or related field One year of experience in economic and accounting principles and practices One year of experience in SQL, Python, R, Matlab, or AWS One year of experience in Looker or Tableau One year of experience in risk modeling (credit and market risk, macroeconomic trends, financial performance) One year of experience using advanced machine learning techniques for quantitative models One year of experience in data analytics, financial modeling, model validation, and risk analytics

Perform advanced data analysis to derive critical insights and develop credit strategies Utilize data modeling techniques to manage profitability and resilience by assessing and managing risk Collaborate with Data Science and Engineering teams to build underwriting models and risk management capabilities Explore business data using statistical and data modeling to develop lifetime valuation infrastructure Collaborate with Merchant Pricing team to value merchants and optimize credit strategies Develop credit policies for new initiatives and products Develop effective risk management strategies by analyzing business data sets and using SQL Monitor portfolio and macroeconomic trends impacting loan performance Improve end-to-end product analytics workflows using quantitative techniques