Credit Risk Data Science Manager
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仕事内容
Lead and manage data science initiatives focused on the UK BNPL risk portfolio, shaping scalable and responsible credit strategies.
Develop and maintain predictive models, scoring, and reporting to support underwriting and risk decision-making.
Analyze complex datasets to identify trends, drivers, and actionable insights that drive product and risk improvements.
Collaborate with cross-functional teams to define data needs, ensure data quality, and translate findings into business actions.
Mentor junior data scientists and foster a culture of learning, while communicating results clearly to stakeholders.
Measure the P&L impact of credit strategies, monitor performance, and optimize risk-revenue trade-offs across the lifecycle.
Develop and maintain predictive models, scoring, and reporting to support underwriting and risk decision-making.
Analyze complex datasets to identify trends, drivers, and actionable insights that drive product and risk improvements.
Collaborate with cross-functional teams to define data needs, ensure data quality, and translate findings into business actions.
Mentor junior data scientists and foster a culture of learning, while communicating results clearly to stakeholders.
Measure the P&L impact of credit strategies, monitor performance, and optimize risk-revenue trade-offs across the lifecycle.
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? Senior Lecturer in Strategy and International Business ? Assistant Professor in International Relations/International Political Economy ? Lecturer / Associate Professor in Biosciences ? Professor in Finance ? Associate Professor in Engineering ? Assistant/Associate Professor in STEMB – South Kensington