Senior Data Scientist, First Line Risk

This is a fully remote position, open to applicants in California, +1 more state.

📋 Description

• Establish and uphold actionable control performance metrics and key risk indicators.

• Analyze controls utilizing source data and system behavior to evaluate coverage, enforcement, exceptions, and outcomes.

• Identify areas lacking instrumentation or evidence.

• Contribute scalable monitoring metrics and modules for the monitoring application.

• Link metrics to risks and controls, prioritizing significant monitoring gaps.

• Transform one-off analyses into reusable analytical modules and automated monitoring workflows.

• Define populations, cohorts, baselines, and thresholds while calibrating monitoring.

• Develop pre-launch risk measurement plans, rollout guardrails, and post-launch monitoring strategies.

• Collaborate with internal users to understand their decisions and workflows, shaping the monitoring roadmap.

• Lead ambiguous initiatives from problem identification to delivery.

• Align stakeholders on vision, trade-offs, ownership, and actionable steps.

• Convey findings and limitations of evidence to technical partners, control owners, compliance teams, and senior leaders.

• Provide reusable methods and technical guidance for fellow data scientists.

⛳️ Requirements

• Bachelor's degree in statistics, data science, economics, computer science, or a related quantitative field with 7+ years of relevant experience; or a master’s degree with 5+ years; or a PhD with 3+ years.

• Proven track record of leading analytical solutions from problem definition to production use and adoption, including multi-person or cross-team initiatives.

• Advanced expertise in SQL and Python.

• Experience in handling large datasets and creating maintainable analytical code, reusable modules, and automated data workflows.

• Strong statistical and analytical judgment, encompassing cohort analysis, experimentation, time series, or monitoring.

• Ability to identify selection bias, incomplete data, and misleading metrics.

• Experience in translating business, policy, or control objectives into measurement frameworks.

• Strong instincts for internal tool development.

• Capability to make practical trade-offs, foster stakeholder alignment, and execute across teams.

• Clear written and verbal communication of complex analytical findings, uncertainties, and recommendations.

• Background in financial technology, risk, compliance, or product governance, with the ability to grasp complex domains.

• Experience utilizing AI tools to enhance analysis and development.

• High proficiency in Python and SQL; producing clean, organized, and testable code.

• Understanding of probability and statistics, A/B test design and evaluation, standard error calculations, statistical inference, and anomaly detection.

• Proficiency with Python visualization libraries such as matplotlib or plotly.

• Familiarity with git or version control systems.

• Experience leveraging LLMs and constructing effective prompts.

• Experience with data warehousing platforms like Snowflake or BigQuery.

🏝️ Benefits

• Remote work opportunities.

• Comprehensive medical insurance.

• Flexible time off policies.

• Retirement savings plans.

• Modern family planning support.

• Reasonable accommodations provided throughout the recruitment process.