Block
Senior Data Scientist, First Line Risk
$168K–$297K
Bay Area, CA, United States of America +1 · Remote · Senior · Full-time · Posted Dec 16, 2025
- Location
- Bay Area, CA, United States of America
US - NY - NYC - Remote - Experience
- Bachelor’s degree: 7+ years of relevant experience; master’s degree: 5+ years; PhD: 3+ years.
- Education
- Bachelor’s degree in statistics, data science, economics, computer science, or a similar quantitative field; master’s or PhD alternatives are stated.
About the job
Builds and scales control-performance monitoring and risk measurement systems for financial products, helping teams detect emerging risks, evaluate controls, and prioritize action.
What you'll do
- Define control metrics and risk indicators, investigate control performance and evidence gaps, and calibrate monitoring methods.
- Build reusable analytical modules, automated workflows, and monitoring features for product governance and risk management.
- Partner with risk, compliance, product, and engineering teams to guide monitoring decisions, roadmaps, and delivery.
What they ask for
- Advanced proficiency in SQL and Python, including large datasets and maintainable analytical code.
- Strong statistical and analytical judgment, including experience with cohort analysis, experimentation, time series, or monitoring.
- Experience leading analytical solutions from problem definition through production use and adoption.
- Experience translating business, policy, or control objectives into actionable measurement frameworks.
Nice to have
- Experience in financial technology, risk, compliance, or product governance.
- Experience using AI tools, LLMs, and engineered prompts to accelerate analysis and development.
Pay
$198,000 — $297,000 USD (base salary); $188,100 — $282,100 USD (base salary); $178,200 — $267,400 USD (base salary); $168,300 — $252,500 USD (base salary)
Tools
Python, SQL, matplotlib, plotly, git, Snowflake, BigQuery, LLMs
AI focus
Use AI tools and LLMs to accelerate analysis and development, validate conclusions, analyze non-quantitative data, and automate repeatable analytical work.
Model-written summary · the original posting is authoritative