Quantitative Forecasting Platform Lead

What you'll do

• Own and drive the roadmap for forecasting tools supporting stress tests and business-as-usual exercises.
• Lead a team of quantitative developers and data scientists, managing sprint planning and delivery milestones.
• Implement quantitative models in Python to create production-grade pipelines with full traceability.
• Identify, prototype, and productionize GenAI applications to improve Finance forecasting and analysis workflows.
• Establish standards for code quality, documentation, testing, and operational readiness across all tooling.
• Ensure robust controls for data quality, reconciliations, lineage, and compliant Model Development Life Cycle practices.
• Translate complex technical details into clear outcomes, risks, and decisions for non-technical senior stakeholders.
• Manage governance routines including status reporting, risk/issue management, and decision logs.

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 with experience building production-grade data and model pipelines.
• Proven experience implementing or productionizing quantitative forecasting models in finance, risk, stress testing, or related 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.
• Experience operating in stakeholder-heavy environments, managing competing priorities, and driving decisions.
• Strong written and verbal communication skills to translate technical details into clear outcomes for non-technical audiences.
• Experience supporting stress testing, regulatory-driven forecasting, model governance, GenAI applications, or modern software engineering practices (preferred).