Senior Data Scientist First Line Risk
Block, Inc. is a global financial-technology company building products for economic empowerment across payments, consumer finance, commerce, Bitcoin, music, and AI.
Maintainer signals as of 9/25/2026
Projects
About Block, Inc.
Block, Inc., formerly Square, Inc., operates the Square and Cash App ecosystems and current businesses including Afterpay, TIDAL, Bitkey, Proto, and Spiral. Its current Bitcoin ecosystem includes Cash App Bitcoin services, Bitkey self-custody wallet technology, Proto mining systems, and Spiral open-source Bitcoin initiatives. Block also develops open-source AI and collaboration projects including Goose, Buzz, and Berd.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will build and scale control-performance monitoring for new and existing controls. You will turn control, customer, and product data into reusable metrics, analytical modules, and automated workflows that support risk decisions. You will work from problem definition through delivery, communicate evidence and limitations clearly, and improve product-governance measurement before and after launch.
Requirements
- Bachelor's degree in a quantitative field with 7+ years of relevant experience, master's degree with 5+ years, or PhD with 3+ years.
- Experience leading analytical solutions through production use and adoption.
- Advanced SQL and Python proficiency.
- Statistical and analytical judgment, including cohort analysis, experimentation, time series, or monitoring.
- Experience translating business, policy, or control objectives into measurement frameworks.
- Experience with internal tools and stakeholder-driven prioritization.
- Clear written and verbal communication.
- Experience in fintech, risk, compliance, or product governance, or ability to learn complex domains.
- Experience using AI tools for analysis, development, validation, and automation.
- Experience with probability, statistics, A/B testing, anomaly detection, visualization packages, Git, LLMs, prompt engineering, Snowflake, or BigQuery.
Responsibilities
- Define and maintain control-performance metrics and key risk indicators.
- Investigate control coverage, enforcement, exceptions, and outcomes.
- Build scalable monitoring metrics and modules.
- Turn one-off analyses into reusable automated monitoring workflows.
- Define populations, cohorts, baselines, and thresholds using statistical judgment.
- Build pre-launch measurement plans, rollout guardrails, and post-launch monitoring.
- Shape the monitoring roadmap with internal users.
- Lead ambiguous initiatives from definition through delivery.
- Communicate findings, limitations, and recommendations to stakeholders.
Benefits
- Remote work
- Medical insurance
- Flexible time off
- Retirement savings plans
- Modern family planning