Responsibilities
- Define the technical vision and roadmap for machine learning within the pricing engine, shaping its role as a foundational component of core intellectual property.
- Design and deploy machine learning models that dynamically adjust pricing, optimizing across key factors such as conversion likelihood, financial margin, and portfolio equilibrium.
- Create probabilistic modeling solutions to manage risk and address imbalances in rapidly changing operational conditions.
- Lead the design of modeling and data infrastructure while collaborating with engineering and MLOps teams to ensure scalable, reliable integration into production systems.
- Explain model logic, limitations, and decision trade-offs clearly to technical teams so pricing outcomes are transparent and well-understood across dependent functions.
Work Arrangement
Remote (Worldwide)
