Liberis - Analyst - Credit Risk

• You'll be comfortable taking ownership of projects - framing problems, conducting deep analysis, developing recommendations and working with stakeholders to implement change. While experience in credit risk is beneficial, we're primarily looking for an individual with strong analytical capability, commercial thinking and a track record of turning data into actionable insights. • Reporting to the Risk Manager, you'll help shape Liberis' credit risk strategy by delivering analytical insights, developing portfolio monitoring frameworks and driving strategic initiatives across our global products. You'll work closely with teams across Risk, Data Science, Analytics, Product, Pricing and Commercial to ensure our lending decisions support sustainable growth while remaining within our risk appetite. • What you'll get to do: • Build and improve portfolio monitoring frameworks, turning data into clear insights and recommendations. • Monitor losses, delinquencies, inactivity, repayment trends and vintage performance to assess portfolio health and identify emerging risks. • Investigate changes in performance, explain their causes and identify opportunities to improve outcomes or support growth. • Use your analysis to inform credit risk strategies, including where customer eligibility could be expanded or tightened. • Develop forecasting models to better understand future risk and contribute to budgeting and planning. • Work with colleagues across risk and the first line to understand problems, communicate findings and recommend action. • Deliver analytical projects across the portfolio, showing how your work contributes to business decisions rather than stopping at a report or dashboard. • The interview process: • Screening call with Chess (Internal Recruiter) (30 mins) • Video interview with the Hiring Manager (1 hour) • Task based interview with the Risk Team (90 mins) • What we think you'll need • Hands-on data analysis skills, including SQL or BigQuery experience, and the ability to apply those skills to unfamiliar tools. Our current analytics environment includes BigQuery and Looker. • The ability to move from data to an explanation: identifying patterns, investigating why they're happening and making practical recommendations. • Clear communication, including the ability to explain your own contribution to a project, your analytical approach and what changed as a result. • Next steps If this opportunity feels like the right fit for your next career move, we’d love to hear from you! • Even if you don’t meet every requirement, don’t hesitate to apply or reach out to Chess (Internal Recruiter) on [email protected] • Our hybrid approach • Working together in person helps us move faster, collaborate better and build a great Liberis culture. Our hybrid working approach requires colleagues to attend the office at least three days a week, increasing to at least four days a week in Q1 2027