Senior Data Scientist

We're looking for a data-driven professional to help us measure, understand, and improve the performance of our risk strategies — and to stay ahead of evolving fraud threats by designing and deploying data-driven solutions with real-world impact. You'll work directly with clients to understand their unique fraud challenges, rapidly prototype proof-of-concept models, and build scalable, production-ready solutions using machine learning and graph analytics. You'll also analyze complex datasets, design metrics, build dashboards, and collaborate closely with stakeholders across the business to drive decision-making and optimize outcomes. This is a hands-on, high-impact role ideal for someone who thrives at the intersection of data science, client-facing problem solving, and real-time risk.

- Champion a data-first approach across internal teams and client engagements, promoting clarity and impact

- Build and deploy machine learning models to prevent fraud across diverse fintech use cases, from proof-of-concept through to production

- Develop and track metrics to measure and monitor the performance of our risk products and the effectiveness of risk management strategies

- Conduct in-depth analyses to uncover insights contributing to fraud reduction and higher approval rates for our clients

- Work directly with clients to understand their fraud challenges and translate complex data insights into clear, actionable recommendations

- Use data and models to support the development of risk mitigation strategies and interventions while preserving and improving the user experience

- Create and automate self-serve dashboards leveraging BI tools

- Collaborate with engineering to scale models into production, optimize performance, and support data instrumentation

- Partner with cross-functional teams (Business, Product, and Engineering) to translate business requirements into data-driven solutions

- 7+ years of experience in data science, quantitative modeling, or a data-focused role (product analytics, business analytics) with demonstrated high impact in fraud or risk contexts