This is an exciting opportunity to join a growing global company in the cloud-based software industry. This is a hybrid position. You will be responsible for identifying and driving key initiatives to monitor credit and fraud risk of the company. You will leverage your python and SQL skills to pull and manipulate data, analyze clusters and relationships.
Responsibilities
Understand fraud and credit risk and develop approaches to mitigate loss and responsibly grow revenue. Monitor performance of strategies and portfolios.
Document and communicate results and escalate issues as necessary. Identify gaps/opportunities and drive actions.
Evaluate third party vendor data quality and identify new opportunities leveraging various data elements to improve customer experience without incremental risk exposure.
Craft dashboards to track Fraud and Credit related initiatives such as KPIs around funnel conversion and strategy/portfolio performance; summarize and present findings to senior management.
Work closely with Data and Product teams to ensure data quality are accurately and as design.
Qualifications
Bachelor's or Master's degree in Statistics or Applied Mathematics or equivalent experience
1 - 3 years' Data Analysis experience
Proficient in SQL
Proficient in Excel
Proficiency in data visualization and building dashboards using Tableau.