Senior Risk Data & Insights Analyst

As an Analyst/Senior Credit Risk Analyst at Liberis, you will be part of the Risk team responsible for managing the credit risk of Liberis portfolios. Your primary role will involve developing best-in-class credit risk strategies that reward members and deliver value to Liberis. You will work under the guidance of the Senior Manager in the Risk Management team and have the opportunity to contribute to various projects and workstreams aimed at providing credit risk insights within the organization's risk appetite. Key Responsibilities: - Risk Data Architecture & Structuring: - Design and maintain scalable credit risk data marts and portfolio datasets. - Define data definitions, schemas, and maintain metric logic for key risk indicators. - Partner with Data Engineering to optimize warehouse structures and improve the accuracy, consistency, and automation of risk reporting processes. - Ensure consistency and governance across risk, finance, and commercial datasets. - Building scalable Reporting & Automation layer: - Build reusable reporting layers that scale with origination volumes and product complexity. - Create self-serve reporting environments for risk stakeholders while maintaining control frameworks. - Prepare reporting and datasets for new initiatives and deep-dive insights required by various stakeholders. - Enable data mining capabilities for the risk team. - Supporting Portfolio Monitoring & Analytical Frameworks: - Track portfolio performance and identify early warning indicators. - Monitor concentration, exposure, vintage, and cohort analysis. - Develop stress and sensitivity views for portfolio analysis. - Ensuring Data Quality, Controls & Governance: - Implement validation checks and automated reconciliations within reporting pipelines. - Own data integrity across risk reporting outputs. - Develop monitoring for data drift and structural anomalies. - Support internal audit and regulatory reviews with well-documented reporting logic. Qualifications Required: - Bachelors or Masters degree in Finance, Economics, Statistics, Mathematics, Data Analytics, Engineering, or related quantitative discipline. - 2-4 years of experience in data management, building data marts, or database maintenance. Join Liberis in their mission to empower small businesses globally by leveraging the power of finance to drive growth. Work alongside a dynamic team in London dedicated to managing credit risk effectively and shaping the future of business finance. As an Analyst/Senior Credit Risk Analyst at Liberis, you will be part of the Risk team responsible for managing the credit risk of Liberis portfolios. Your primary role will involve developing best-in-class credit risk strategies that reward members and deliver value to Liberis. You will work under the guidance of the Senior Manager in the Risk Management team and have the opportunity to contribute to various projects and workstreams aimed at providing credit risk insights within the organization's risk appetite. Key Responsibilities: - Risk Data Architecture & Structuring: - Design and maintain scalable credit risk data marts and portfolio datasets. - Define data definitions, schemas, and maintain metric logic for key risk indicators. - Partner with Data Engineering to optimize warehouse structures and improve the accuracy, consistency, and automation of risk reporting processes. - Ensure consistency and governance across risk, finance, and commercial datasets. - Building scalable Reporting & Automation layer: - Build reusable reporting layers that scale with origination volumes and product complexity. - Create self-serve reporting environments for risk stakeholders while maintaining control frameworks. - Prepare reporting and datasets for new initiatives and deep-dive insights required by various stakeholders. - Enable data mining capabilities for the risk team. - Supporting Portfolio Monitoring & Analytical Frameworks: - Track portfolio performance and identify early warning indicators. - Monitor concentration, exposure, vintage, and cohort analysis. - Develop stress and sensitivity views for portfolio analysis. - Ensuring Data Quality, Controls & Governance: - Implement validation checks and automated reconciliations within reporting pipelines. - Own data integrity across risk reporting outputs. - Develop monitoring for data drift and structural anomalies. - Support internal audit and regulatory reviews with well-documented reporting logic. Qualifications Required: - Bachelors or Masters degree in Finance, Economics, Statistics, Mathematics, Data Analytics, Engineering, or related quantitative discipline. - 2-4 years of experience in data management, building data marts, or database maintenance. Join Liberis in their mission to empower small businesses globally by leveraging the power of finance to drive growth. Work alongside a dynamic tea