Note: The job is a remote job and is open to candidates in USA. Kadence is a Series B fintech company focused on advanced fraud detection and financial risk systems. They are seeking a Lead Data Scientist to build and deploy real-time machine learning models for fraud detection and risk assessment, while collaborating with engineering teams and external stakeholders to address evolving threats.

Responsibilities

• Building and deploying real-time ML models for fraud detection and risk assessment
• Designing anomaly detection systems to identify emerging fraud patterns
• Developing behavioral models across multiple data sources and signals
• Partnering closely with engineering to productionise models at scale (monitoring, iteration, reliability)
• Working with external stakeholders to understand evolving threat landscapes and requirements
• Owning technical decisions and being able to clearly defend modelling approaches in high-impact environments

Skills

• 7+ years of hands-on data science experience (openings range from mid-level through staff)
• Strong background in fraud detection, risk modelling, identity, or security-focused data science
• Experience deploying and monitoring models in production environments
• Strong Python + SQL foundations (modern ML tooling experience expected)
• Ability to communicate clearly with both technical and non-technical stakeholders
• Comfortable operating in fast-paced environments where the work has direct customer and business impact
• Fintech or financial services exposure is ideal
• Graph ML, time series modelling, ensemble methods, or sequential behaviour modelling experience
• Familiarity with regulated environments and risk constraints
• Track record of improving model performance post-deployment

Company Overview