Description
The First Line Risk Data Science team at Block helps teams understand, measure, and manage risks of building financial products that serve millions of customers.
We are looking for a Senior Data Scientist to build and scale control performance monitoring for new and existing controls.
Responsibilities:
- Define and maintain actionable control performance metrics and key risk indicators
- Investigate how controls work in practice, using source data and system behavior
- Contribute scalable monitoring metrics and modules into our monitoring application
- Turn high-value one-off analyses into reusable analytical modules and automated monitoring workflows
- Apply statistical judgment to define populations, cohorts, baselines, and thresholds
- Build repeatable solutions for product governance
- Partner with internal users to understand their decisions and workflows
- Lead ambiguous initiatives from problem definition through delivery
- Communicate findings and evidence limitations clearly to technical partners and senior leaders
Requirements:
- Bachelor's degree in statistics, data science, economics, computer science, or a similar quantitative field with 7+ years of relevant experience
- Advanced proficiency in SQL and Python
- Strong statistical and analytical judgment
- Experience translating business, policy, or control objectives into measurement frameworks
- Strong product instincts for internal tools
- Excellent judgment in ambiguous situations
- Clear written and verbal communication
Technologies We Use:
- Python
- SQL
- Probability and statistics
- Data warehousing platforms (e.g., Snowflake, BigQuery)
- AI tools