Staff Data Scientist - First Line Risk & Monitoring

Cash App is hiring a Staff Data Scientist to establish and scale a first line risk management program. This individual will be a key strategic partner to our Head of First Line Risk and Monitoring and help develop and implement a data-driven and comprehensive risk management program.

They will be responsible for leveraging data to enable robust testing and monitoring processes and risk management strategies against existing risks across Cash App’s ecosystem, as well as new and emerging risks. This individual will use data to help facilitate decision-making across various company-wide initiatives and risk programs.

You will:

• Perform in-depth analysis of large datasets using SQL and scripting languages to deliver actionable insights and identify opportunities for cross-functional partners and senior management across Cash Product, Business, Compliance, and Legal teams
• Approach problems from first principles and apply a systems-thinking approach to solve a diverse array of problems
• Develop, forecast, and report on key metrics that drive strategic decisions and facilitate decision-making for critical risk and business initiatives
• Become a subject matter expert in first line risk management, anticipating emerging business risks and customer behaviors and understanding their impact on measurement and insights
• Establish the framework for a consolidated risk management dashboard, including data and dashboard modeling, ensuring a comprehensive view of risk across the organization
• Build and share data visualizations and create self-serve dashboards for partners
• Write efficient code for processing, cleansing, and integrating data from various sources, resulting in curated ETL datasets that the broader team can easily utilize

Requirements

You have:

• A bachelor degree in statistics, data science, or similar STEM field with 12+ years of experience in a relevant role OR
• A graduate degree in statistics, data science, or similar STEM field with 6-8+ years of experience in a relevant role
• Advanced proficiency with SQL and data visualization tools (e.g. Tableau, Looker, etc)
• Experience with scripting and data analysis programming languages, such as Python or R
• Strong knowledge and hands-on experience in several of the following areas: statistics, optimization, product analytics, causal inference, and/or experimentation
• Responsible for the entire analytics process, including problem definition, developing metrics, data extraction and manipulation, visualization, and the creation and implementation of analytical/statistical models
• A knack for turning ambiguous problems into clear deliverables and actionable insights
• World-class communication skills and the ability to present complex data in a simple and clear manner

Technologies we use and teach:

• SQL, Snowflake, etc.
• Python (Pandas, Numpy)
• Tableau, Airflow, Looker, Mode, Prefect