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hace 20 horas
We are seeking a talented Senior Credit Risk Analyst to join our growing credit risk analytics team. This role is specifically designed for professionals with minimum of 3 years of experience in the lending industry who are looking to develop their career in credit risk analytics and statistical modelling within the banking sector. Please note: This position is for a Senior Credit Risk Analyst role focused on credit risk assessment and modelling, not financial analysis. About the Role As a Senior Credit Risk Analyst, you will contribute to the development and enhancement of our credit risk analytics capabilities. This is an excellent opportunity for someone with a first experience in unsecured lending to get wider exposure and larger remit (affordability and underwriting scorecards and credit strategy, pricing and credit risk management) whilst working with cutting-edge statistical models and data-driven insights. You will have the opportunity to work in a pan-European team and get exposure to credit risk analytics across our international markets including Baltic countries, Germany, Austria and other European markets. Key Responsibilities Data Analysis & Insights: Collect, analyse, and interpret data from multiple sources including internal systems and Credit Bureaus to identify trends, patterns, and opportunities that inform credit policy, credit limit and pricing strategies Model Development: Contribute to developing and maintaining statistical models, including scorecards and other credit risk assessment tools Stakeholder Collaboration: Provide clear, actionable insights and recommendations to stakeholders across the business, supporting informed decision-making and business growth Cross-functional Teamwork: Work collaboratively with colleagues in the decision sciences and analytics team, as well as other departments across different locations Communication & Reporting: Present complex analytical findings to both technical and non-technical audiences through clear presentations, reports, and data visualisations Essential Requirements Education & Experience Bachelor's degree in Mathematics, Statistics, Economics, Physics, Computer Science, Engineering, or related quantitative discipline. A Master's degree is preferred. Minimum of 3 years of experience in analytics, data science, data analysis, or lending/credit assessment within the financial services sector. Previous experience working for an unsecured lender (
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