Wise is a global technology company building the financial infrastructure of the future. The newly created Credit team is exploring how transparent and fair credit can empower customers to manage their global financial lives. We are seeking a Senior Analytics Manager, Credit to join the Spend Squad and shape the future of our first credit products. In this role you will partner with a high performing global team including product, engineers, data scientists and designers to deliver a world class credit product. You will be hands on with data and lead a small team of analysts as the product scales. You will partner with Data Science to challenge and stress test credit risk modelling assumptions for SME customers, leverage market insights and publicly available data on SME finance to validate modelling decisions, develop forward looking views of expected loss, repayment failures, delinquency transitions, and write offs, and create feedback loops with product and risk decisions. You will work closely with regional teams to inform market launch strategy. You will own the Credit analytics data strategy: define the datasets, dashboards and tools needed to scale decision making; ensure consistent definitions, documentation and data quality. You will lead and develop a high performing team through coaching, prioritisation, improving analytical quality, and hiring as the team grows. Qualifications: 6+ years of experience in data analytics with significant experience in economics/finance/risk/fraud/portfolio management/investing modelling or credit; strong understanding of the credit
Wise is a global technology company building the financial infrastructure of the future. The newly created Credit team is exploring how transparent and fair credit can empower customers to manage their global financial lives. We are seeking a Senior Analytics Manager, Credit to join the Spend Squad and shape the future of our first credit products. In this role you will partner with a high performing global team including product, engineers, data scientists and designers to deliver a world class credit product. You will be hands on with data and lead a small team of analysts as the product scales. You will partner with Data Science to challenge and stress test credit risk modelling assumptions for SME customers, leverage market insights and publicly available data on SME finance to validate modelling decisions, develop forward looking views of expected loss, repayment failures, delinquency transitions, and write offs, and create feedback loops with product and risk decisions. You will work closely with regional teams to inform market launch strategy. You will own the Credit analytics data strategy: define the datasets, dashboards and tools needed to scale decision making; ensure consistent definitions, documentation and data quality. You will lead and develop a high performing team through coaching, prioritisation, improving analytical quality, and hiring as the team grows. Qualifications: 6+ years of experience in data analytics with significant experience in economics/finance/risk/fraud/portfolio management/investing modelling or credit; strong understanding of the credit
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