Decision Science Lead

Decision Science Lead

London

£70,000 to £90,000 plus benefits

This is an opportunity to step into a high impact Decision Science Lead role within a fast growing fintech environment. You will play a key role in shaping credit risk strategy through advanced analytics and machine learning, with strong exposure to senior stakeholders and clear progression opportunities.

The Company

They are a scaling fintech business operating in the consumer lending space, focused on delivering innovative, data driven solutions. With a strong market presence and growing customer base, they are competing with some of the largest players in the industry. The business combines a collaborative, agile culture with a clear ambition to continue expanding its analytics capability.

The Role

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• Develop and enhance credit risk models including scorecards, behavioural, acquisition and fraud models
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• Build predictive models using advanced statistical and machine learning techniques
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• Deploy models into production using AWS SageMaker and collaborate with engineering teams
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• Monitor model performance and ensure ongoing effectiveness across business and technical metrics
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• Generate insights and present clear, actionable recommendations to stakeholders
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• Explore new data sources and modelling approaches to drive innovation
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• Work closely with cross functional teams to influence lending and risk decisions
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Your Skills and Experience

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• Strong commercial experience within consumer credit and lending environments
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• Proven ability to develop credit risk models, including scorecards or predictive models
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• Strong programming skills in Python and SQL with experience working in cloud environments such as AWS
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• Solid grounding in statistics and machine learning
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• Experience working with large, complex datasets and delivering business insights
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• Strong communication skills with the ability to influence stakeholders
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• Experience with model deployment is highly beneficial
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• Exposure to dbt is desirable
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What They Offer

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• Salary between £70,000 and £90,000
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• Hybrid working with two to three days in the office each week
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• Competitive benefits package including bonus, pension and private medical cover
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• Strong career progression opportunities within a growing data function
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• A collaborative and supportive working environment with exposure to senior leadership
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