Head of Modeling, Data Analytics - Legal Recovery

We invite you to explore a future with us at PRA Group, a diverse and growing company that has a tangible impact on the global economy. Position Summary: Leads the development and application of analytical models, performance insights, and decision-support frameworks to improve business outcomes and operational effectiveness. Partners closely with business leaders to understand processes, identify pain points, quantify opportunities, and translate complex challenges into scalable analytical solutions. Oversees the design, implementation, and continuous refinement of models, metrics, and reporting capabilities to drive ongoing performance improvement and informed decision-making. Ensures the integrity, quality, and governance of data assets while guiding analytical priorities, advancing data-driven practices, and developing team capabilities to maximize business impact. This is a hybrid position working 3 days onsite at our Norfolk, VA or our Charlotte, NC office. Professional Experience and Qualifications: • 7+ years of relevant experience in analytics, business intelligence, data science, operations research, or related disciplines, including experience leading projects, programs, or teams. • Advanced experience building and utilizing sophisticated cash flow models such as DCF (Discount Cash Flow Modeling), or KNN or Monte Carlo, to monitor cash flows and costs and create forecasts for short term and long term. • Expert analytical, statistical, and business modeling skills, including the ability to develop, validate, implement, and continuously refine models that improve operational and financial performance. • Advanced expertise and experience working with Python, SQL, R and Power BI. • Senior experience in data analytics, statistical modeling, data mining, data visualization, reporting, and Structured Query Language (SQL), with demonstrated ability to develop, implement, and continuously refine analytical models that drive business performance improvements. • Strong understanding of business processes, operational workflows, performance drivers, and organizational pain points, with the ability to translate business needs into scalable analytical solutions and actionable recommendations. • Experience leading cross-functional analytical initiatives, partnering with business stakeholders, and influencing strategic and operational decision-making through data-driven insights. • Experience developing and mentoring analytical talent, establishing best practices, and ensuring high standards of analytical rigor, data quality, and governance. • Education: Bachelor’s Degree in a Science, Technology, Engineering, Mathematics (STEM) or Quantitative (required). Skills/Knowledge/Qualities/Languages: • Advanced Structured Query Language (SQL) proficiency, including complex joins, unions, pivots, common table expressions, window functions, stored procedures, functions, and query optimization. • Advanced experience with Microsoft SQL Server, including creation, modification, execution, and monitoring of scheduled jobs, stored procedures, and database processes. • Advanced data visualization and business intelligence skills using tools such as Microsoft Power BI, Python, R Shiny, or equivalent platforms to communicate insights and performance trends effectively. • Advanced knowledge of data mining, data analysis, reporting, forecasting, performance measurement, and decision-support methodologies. • Advanced ability to understand business processes, operational workflows, customer journeys, and organizational pain points and translate them into analytical solutions and measurable improvement opportunities. • Advanced ability to identify, quantify, and communicate business impact, risks, opportunities, and performance drivers through data-driven analysis and modeling. • Advanced project and program leadership skills, including prioritization, resource planning, stakeholder management, and execution of multiple concurrent initiatives. • Advanced ability to diagnose, investigate, and resolve complex data quality, process, operational, and business performance issues. • Advanced experience gathering business requirements and translating them into scalable analytical frameworks, reporting solutions, and performance management processes. • Advanced knowledge of data governance, controls, data quality standards, and analytical best practices. • Advanced written, verbal, and presentation communication skills, with the ability to explain complex analytical concepts to technical and non-technical audiences. • Advanced relationship-building and influencing skills, including the ability to partner effectively with senior leaders and cross-functional stakeholders. • Advanced leadership, coaching, and talent development skills, including mentoring analysts and fostering a culture of analytical rigor, continuous improvement, and accountability. • Demonstrated ability to drive continuous improvement through ongoing monitoring, model refinement, experimentation, and measurement of business outcomes. • Strong business acumen with the ability to balance analytical depth, practical implementation considerations, and organizational priorities. • Fluent English, written and oral, required. Key Responsibilities: • Lead the identification, prioritization, and delivery of advanced analytical and modeling initiatives that address business challenges, improve operational performance, and support strategic objectives. • Partner with business leaders and cross-functional stakeholders to understand business processes, pain points, risks, and value drivers; translate opportunities into analytical frameworks, pragmatic models, and performance metrics. • Oversee the development, validation, implementation, and continuous refinement of predictive, prescriptive, and diagnostic models to improve decision-making, operational efficiency, and business outcomes. • Establish and maintain performance measurement frameworks, key perform