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
Kadence - We place elite AI talent at the intersection of science & engineering, from PHD to Executive. It was founded in undefined, and is headquartered in New York, , US, with a workforce of 2-10 employees. Its website is https://kadencetalent.com/.