Job Description
- Understand our payment-in and credit card flow, which includes transaction and fraud prevention.
- Develop dashboards not just for monitoring, but to produce actionable insights that decision-makers can use to steer the business.
- Work with other product and/or data teams to provide data context for cross-functional initiatives.
- Work with the business to answer tactical questions that will affect the development of product features.
- Develop ETL pipelines within a robust framework that is highly automated and does not require a large team to maintain and monitor
- Enable our key stakeholders to improve their understanding and analytical power
Requirements
- 2+ Years of working experience with at least a Bachelor’s degree in a quantitative field.
- You have to be curious and hungry to learn, take ownership of your own journey, have a bias for action and be impact-oriented.
- Strong foundations in data manipulation and inferential statistics with Python and SQL.
- Being meticulous towards details, and having empathy for your stakeholders and peers.
- Strong in communications with both non-technical and technical audiences.
- Comfortable working with open-ended questions and potentially ambiguous problem statements.
- Existing business domain knowledge in any financial service product (payment/fraud/etc.) is preferred but not required
If you like wild growth and working with happy, enthusiastic over-achievers, you’ll enjoy your career with us!
