The business problem Square is looking to solve is to root out high-risk activity across the Square platform of products, including fraud and credit risks, and to build risk detection strategies to enable growth of the business.
Requirements
- Familiarity with fraud/risk management, trust and safety, payments, or card business
- Proficiency with SQL, Python and Looker
- Hands-on work building/implementing machine learning models
- Experience driving data-driven solutions and executing their implementation
- Worked on ambiguous problems and unstructured questions
- SQL, Snowflake, Databricks etc.
- Python (Pandas, Numpy)
Responsibilities
- Diagnose problems and develop compelling, data-driven recommendations
- Provide thought leadership in building and executing risk management strategies for new or existing product launches
- Design and analyze A/B experiments to measure the effectiveness of a Risk Management strategy
- Partner with Product, Engineering, Machine Learning Engineering, Policy and Operation teams to design solutions to business problems, influence product roadmaps, and develop new products/processes
- Use machine learning tools to develop data-driven solutions
- Promote creative risk solutions through third-party evaluation and integration with a focus on improving the seller experience
- Effectively present your work with senior leaders and cross-functional stakeholders on a regular basis
Other
- BS/BA in Statistics, Mathematics, Operations Research, Management Science, Computer Science, or a related technical field, OR BS/BA in Criminal Justice, Economics, Business, or a related business field
- 5+ years of relevant experience (or masters degree with 3+ years of experience)
- A passion for Block's mission
- Remote work, medical insurance, flexible time off, retirement savings plans, and modern family planning are just some of our offering
- Travel requirements not specified
