• Develop and enhance pricing analytics utilizing SAS, Python, Excel and Tableau related to projected portfolio returns, risk concentration and CRT performance. • Present findings to Senior Leadership Team on a regular basis to influence pricing decisions. • Develop bespoke MI rate card pricing utilizing competitive intelligence, return thresholds, and desired portfolio composition to most efficiently deploy Radian's capital. • Perform ad hoc analysis related to mortgage insurance pricing, CRT portfolio analysis and competitive analysis. • Competitive Position Analytics: Perform analysis to adjust pricing as needed in order to maintain desired market share. • Collecting and maintaining MI pricing intelligence thru the development of databases. • Assist in the research and implementation of market data and variables to enhance pricing and financial forecasts. • Perform other duties as assigned or apparent.

• Engage with business stakeholders to understand pricing, commercial, and operational requirements. • Translate business needs into structured requirements, user stories, and acceptance criteria suitable for delivery teams. • Own the creation and management of requirements and defects within Agile delivery tools (e.g. Jira). • Support backlog refinement, sprint planning, and user acceptance testing by acting as the primary point of clarification between business and technical teams. • Analyse requirements that span multiple enterprise systems, including pricing, quoting, CRM, and downstream operational processes. • Understand how commercial and pricing changes affect proposals, approvals, billing, and reporting. • Partner with cross functional teams to support structured intake, prioritisation, and decision-making processes. • Communicate clearly with senior stakeholders, providing insight into scope, trade‑offs, and delivery considerations.

• Own the performance of all pricing methods across all merchandise categories against sales, pricing, and field-satisfaction KPIs. • Lead the strategy of HOW we price: which categories need direct input pricing (DIP prices) tied to retail prices, which parameters drive the Historic Pricing method, which manufacturers and models are covered in the product master data (MDM), and which categories require price buffers. • Trigger WHEN pricing methods need to be optimized, based on performance signals and early-warning indicators. • Define the vision, roadmap, and requirements for AI-driven pricing products — translating model performance into business outcomes and championing AI adoption across the pricing function. • Partner with Data Science to build and operationalize pricing experimentation infrastructure — pilots, A/B tests, trigger logic, and monitoring — including the introduction of a partner-developed AI pricing model (Scoop). • Drive automation and data quality across the pricing pipeline with Data Science and Data Engineering — replacing manual processes with scalable, AI-assisted systems and leveraging Gen AI/LLM product matching to improve the product master data (MDM), aliases, and pricing parameters. • Build the analytical methodology, trigger logic, and response playbook alongside the Pricing Analysts — who own pricing diagnostics and root-cause analysis — then own the trigger-to-action workflow: classify pricing issues (data anomaly, aliasing, MDM, or methodology), recommend a fix, estimate the impact, and communicate it to business stakeholders (Earning Assets). • Guide the integration of external and competitive prices into pricing methods to keep prices market-aligned. • Ensure stable prices during transitions and manage the risk of pricing releases through pre- and post-release analysis. • Prioritize the pricing backlog, balancing immediate enhancements against strategic builds. • Communicate pricing performance, planned changes, and expected business impact to business and executive stakeholders, guiding data-driven pricing decisions and AI adoption.

• Develop pricing strategies and responsible for pricing diagnostics across all EZCORP operating countries • Pull data directly from company databases (SQL), build analyses and visualizations in Python • Perform root cause analysis on pricing performance issues and communicate insights to leadership • Produce weekly/monthly pricing reporting for all operating countries • Coordinate with key stakeholders to validate findings and communicate insights to leadership • Utilize Claude Code as an analytical co-pilot for diagnostics • Serve as lead and mentor for the Global Pricing Analysts, set analytical standards, and develop team skills