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Head of Predictive Modeling – Legal Recovery
PRA Group (Nasdaq: PRAA). Lead advanced analytical and modeling initiatives addressing business challenges and strategic objectives .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates advanced analytical and modeling capabilities, including expertise in Python, SQL, and Power BI, while leading cross-functional teams to drive data-driven decision-making and performance measurement. Proven ability to develop and mentor analytical talent, establish best practices, and ensure data governance and quality standards.
Highest-signal resume keywords
Advanced Analytical SkillsExpertise in Python, SQL, RData Visualization with Power BILeadership and Talent DevelopmentBusiness Process Understanding
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data AnalysisStatistical ModelingPredictive ModelingPerformance MeasurementData MiningBusiness IntelligenceCash Flow ModelingSQL ProficiencyData GovernanceAnalytical Frameworks
Soft Skills
Communication SkillsRelationship-BuildingCoaching SkillsInfluencing SkillsProblem-Solving
Tools & Technologies
Microsoft Power BIPythonRSQL ServerR Shiny
Industry Keywords
Business IntelligenceData ScienceOperations ResearchPerformance DriversAnalytical Best Practices
Tech Stack
Tools & technologiesMS SQL ServerPythonSQL
About the role
Key responsibilities & impact- Lead advanced analytical and modeling initiatives addressing business challenges and strategic objectives
- Partner with business leaders and cross-functional stakeholders to understand processes, pain points, risks, and value drivers
- Translate business opportunities into analytical frameworks, pragmatic models, and performance metrics
- Oversee development, validation, implementation, and continuous refinement of predictive, prescriptive, and diagnostic models
- Establish and maintain performance measurement frameworks, KPIs, dashboards, and reporting capabilities
- Ensure data quality, governance, compliance, and control standards within analytical processes and decision-support solutions
- Lead, coach, and develop analytical talent while establishing best practices and fostering continuous learning
- Serve as subject matter expert for assigned business domains
- Lead and manage several analytics professionals, setting priorities, assigning work, and aligning initiatives with business objectives
- Partner with senior stakeholders to prioritize work, allocate resources, resolve issues, and balance short- and long-term needs
- Recruit, coach, develop, and evaluate employees, providing feedback, career guidance, and performance management
Requirements
What you’ll need- 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 DCP, KNN or Monte Carlo
- Expert analytical, statistical, and business modeling skills
- Advanced expertise with Python, SQL, R and Power BI
- Senior experience in data analytics, statistical modeling, data mining, data visualization, reporting, and SQL
- Strong understanding of business processes, operational workflows, performance drivers, and organizational pain points
- Experience leading cross-functional analytical initiatives and influencing decision-making through data-driven insights
- Experience developing and mentoring analytical talent and establishing best practices
- Bachelor’s Degree in a STEM or Quantitative field (required)
- Advanced 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 scheduled jobs, stored procedures, and database processes
- Advanced data visualization and business intelligence skills using Microsoft Power BI, Python, R Shiny, or equivalent platforms
- Advanced knowledge of data mining, data analysis, reporting, forecasting, performance measurement, and decision-support methodologies
- Advanced project and program leadership skills
- Advanced ability to diagnose and resolve complex data quality, process, operational, and business performance issues
- Advanced experience gathering business requirements and translating them into scalable analytical frameworks and reporting solutions
- Advanced knowledge of data governance, controls, data quality standards, and analytical best practices
- Advanced written, verbal, and presentation communication skills
- Advanced relationship-building and influencing skills
- Advanced leadership, coaching, and talent development skills
- Strong business acumen
- Fluent English, written and oral, required
- Legally authorized to work in the United States without requiring current or future employment visa sponsorship
Benefits
Comp & perks- Performance based bonus programs
- Equity programs depending on the position
- Paid time off
- Medical insurance
- Dental insurance
- Vision insurance
- 401k match
- Life insurance
- Benefits supporting physical and mental wellbeing