Senior Data Scientist, First Line Risk

This is a Fully Remote Job

About Our Client:

The organization operates within the financial technology sector, focusing on economic empowerment through various foundational teams such as People, Finance, Counsel, Hardware, Information Security, and Platform Infrastructure Engineering. These teams provide global corporate-level support and guidance, working across business groups to develop inclusive policies, manage finances, offer legal counsel, secure systems, and foster new initiatives.

About the Opportunity:

The SENIOR DATA SCIENTIST, FIRST LINE RISK role centers on building and scaling control performance monitoring to manage risks associated with financial products serving millions of customers. This position is responsible for developing a control monitoring platform that enables teams to understand risk exposure, investigate changes, and prioritize actions. The role involves partnering with risk, compliance, product, and engineering teams to integrate automated risk measurement into product governance, from pre-launch to post-launch stages. The position demands analytical rigor, product judgment, and ownership of the long-term quality and impact of monitoring metrics.

Responsibilities:

• Define and maintain actionable control performance metrics and key risk indicators linking control objectives, risk exposure, and customer outcomes.
• Analyze control effectiveness using source data to measure coverage, enforcement, exceptions, and outcomes.
• Develop scalable monitoring metrics and modules for the monitoring application to identify emerging risks and prioritize monitoring gaps.
• Create reusable analytical modules and automated workflows from high-value analyses.
• Apply statistical methods to define populations, cohorts, baselines, thresholds, and calibrate monitoring for meaningful change detection.
• Build repeatable solutions for product governance including risk measurement plans and post-launch monitoring.
• Collaborate with internal users to shape the monitoring roadmap and measure solution value through adoption and risk management improvements.
• Lead initiatives from problem definition to delivery, aligning stakeholders on vision, tradeoffs, and ownership.
• Communicate findings and limitations clearly to technical and nontechnical stakeholders and contribute technical guidance for data scientists.

Requirements:

• Bachelor’s degree in statistics, data science, economics, computer science, or a related quantitative field with 7+ years experience; or master’s degree with 5+ years; or PhD with 3+ years.
• Proven experience leading analytical solutions from problem definition through production and adoption, including cross-team efforts.
• Advanced proficiency in SQL and Python, capable of working with large datasets and building maintainable code and automated workflows.
• Strong statistical and analytical judgment, familiar with cohort analysis, experimentation, time series, and monitoring techniques.
• Experience translating business, policy, or control objectives into actionable measurement frameworks.
• Strong product instincts for internal tools, including prioritizing impact and evaluating improvements in risk management.
• Excellent judgment in ambiguous situations with ability to align stakeholders and execute cross-team initiatives.
• Clear written and verbal communication skills for technical and nontechnical audiences.
• Experience or ability to learn financial technology, risk, compliance, or product governance domains.
• Experience using AI tools to accelerate analysis, validate conclusions, and automate analytical tasks.

Pay Range and Compensation Package:

• The pay range and compensation package for this role will be determined based on the candidate's experience, skills, and other relevant factors.

Equal Opportunity Statement: Our client is an equal opportunity employer. They celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, or national origin.

Note:

TalentHop is a recruitment partner of this role. Please note that all employment decisions, including candidate assessment, interviews, hiring, compensation, and employment terms, are made exclusively by the hiring employer.