Senior Data Scientist, First Line Risk

🔥 12 hours ago

🏄 California, New York – Remote

🏄 California – Remote 🗽 New York – Remote

💵 $168.3k - $297k / year

⏰ Full Time

🟠 Senior

📊 Data Scientist

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Block

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1990

💼 Consulting

📣 Marketing

💳 Fintech

Consulting • Marketing • Fintech

Block is a technology company that aims to increase access to the global economy through its various brands. Square provides commerce and financial services designed for sellers, while Cash App offers an easy platform for spending, sending, and storing money. Afterpay allows customers to manage their spending over time. Additionally, TIDAL empowers artists by providing them with tools for entrepreneurship, and Bitkey and Proto focus on bitcoin and related services. Together, these services contribute to building an open financial system accessible to everyone.

📋 Description

• Define and maintain actionable control performance metrics and key risk indicators • Investigate controls using source data and system behavior to measure coverage, enforcement, exceptions, and outcomes • Identify incomplete instrumentation or evidence • Contribute scalable monitoring metrics and modules to the monitoring application • Connect metrics to risks and controls and prioritize consequential monitoring gaps • Turn one-off analyses into reusable analytical modules and automated monitoring workflows • Define populations, cohorts, baselines, and thresholds and calibrate monitoring • Build pre-launch risk measurement plans, rollout guardrails, and post-launch monitoring • Partner with internal users to understand decisions and workflows and shape the monitoring roadmap • Lead ambiguous initiatives from problem definition through delivery • Align stakeholders on vision, tradeoffs, ownership, and actions • Communicate findings and evidence limitations to technical partners, control owners, compliance teams, and senior leaders • Contribute reusable methods and technical guidance for other data scientists

🎯 Requirements

• Bachelor's degree in statistics, data science, economics, computer science, or a similar quantitative field with 7+ years of relevant experience; or a master's degree with 5+ years; or a PhD with 3+ years • Track record of leading analytical solutions from problem definition through production use and adoption, including multi-person or cross-team efforts • Advanced proficiency in SQL and Python • Experience working with large datasets and building maintainable analytical code, reusable modules, and automated data workflows • Strong statistical and analytical judgment, including cohort analysis, experimentation, time series, or monitoring • Ability to recognize selection bias, incomplete data, and misleading metrics • Experience translating business, policy, or control objectives into measurement frameworks • Strong product instincts for internal tools • Ability to make practical tradeoffs, build stakeholder alignment, and execute across teams • Clear written and verbal communication of complex analytical findings, uncertainty, and recommendations • Experience in financial technology, risk, compliance, or product governance, or ability to learn complex domains • Experience using AI tools to accelerate analysis and development • Strong proficiency in Python and SQL; clean, organized, and testable code • Understanding of probability and statistics, A/B test design and evaluation, standard error calculations, statistical inference, and anomaly detection • Experience with Python visualization packages such as matplotlib or plotly • Experience with git or version control systems • Experience leveraging LLMs and engineering prompts • Experience with data warehousing platforms such as Snowflake or BigQuery

🏖️ Benefits

• Remote work • Medical insurance • Flexible time off • Retirement savings plans • Modern family planning • Reasonable accommodations throughout the recruitment process

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