Quantitative Forecasting Platform Lead

What you'll do

• Own and drive the roadmap for forecasting tools supporting stress tests and business-as-usual exercises.
• Develop production-grade Python pipelines to implement quantitative models with full traceability.
• Prototype and productionize GenAI applications to improve finance forecasting and analysis workflows.
• Lead, coach, and manage a team of quantitative developers and data scientists.
• Ensure all tools meet strict standards for code quality, documentation, testing, and operational readiness.
• Manage risk, governance, and compliance requirements including model development life cycle practices.
• Act as the primary point of contact to communicate technical risks and outcomes to non-technical stakeholders.
• Oversee data integrity through robust controls, monitoring, reconciliation, and incident response management.

What we're looking for

• 8+ years of experience in quantitative analytics, model development, data science, financial forecasting, risk modeling, or financial technology.
• Strong Python engineering skills for building production-grade data and model pipelines.
• Proven experience implementing or productionizing quantitative forecasting models in finance, risk, or stress testing domains.
• Demonstrated ownership of an end-to-end platform or tool used by business users, including production support and lifecycle management.
• Experience leading and developing a team of engineers or data scientists.
• Strong written and verbal communication skills to translate technical details for non-technical stakeholders.
• Understanding of controls and operational excellence across production cycles, including data quality, monitoring, and lineage.
• Preferred experience with GenAI applications, model governance, and modern software engineering practices like CI/CD.