Descrizione
We’re looking for a Senior Data Scientist to join our growing Risk team. This hybrid role will be based in our London headquarters from where we support all our global businesses. Leveraging advanced analytics and machine learning, you’ll play a pivotal role in shaping the future of embedded finance.
From developing and enhancing Probability-of-Default and Revenue-Forecasting models to uncovering insights that drive smarter decisions, your work will directly impact how businesses access finance and serve their customers better. You’ll work closely with cross-functional teams to integrate data-driven solutions into our products and strategies, helping businesses access finance and serve their customers better. Analyse large, complex datasets to uncover patterns, insights, and trends that inform business decisions.
Build and deploy machine learning models to forecast financial outcomes, detect fraud, optimise credit risk, and enhance customer personalisation. Develop and improve algorithms for financial services such as pricing or risk assessment. Create compelling visualisations and dashboards to communicate findings to stakeholders.
Collaborate with risk managers, engineers, and commercial teams to integrate data-driven insights into our products and strategies. Partner with the data and ML engineering team to ensure data pipelines are robust, scalable, and optimised for analysis and inference. Contribute to best practices in MLOps and model lifecycle management.
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