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
- Develop and enhance credit risk models including scorecards, behavioural, acquisition and fraud models
- Build predictive models using advanced statistical and machine learning techniques
- Deploy models into production using AWS SageMaker and collaborate with engineering teams
- Monitor model performance and ensure ongoing effectiveness across business and technical metrics
- Generate insights and present clear, actionable recommendations to stakeholders
- Explore new data sources and modelling approaches to drive innovation
- Work closely with cross functional teams to influence lending and risk decisions
Your Skills and Experience
- Strong commercial experience within consumer credit and lending environments
- Proven ability to develop credit risk models, including scorecards or predictive models
- Strong programming skills in Python and SQL with experience working in cloud environments such as AWS
- Solid grounding in statistics and machine learning
- Experience working with large, complex datasets and delivering business insights
- Strong communication skills with the ability to influence stakeholders
- Experience with model deployment is highly beneficial
- Exposure to dbt is desirable
What They Offer
- Salary between £70,000 and £90,000
- Hybrid working with two to three days in the office each week
- Competitive benefits package including bonus, pension and private medical cover
- Strong career progression opportunities within a growing data function
- A collaborative and supportive working environment with exposure to senior leadership