Top Fintech Machine Learning Engineer Jobs

The role involves leveraging advanced analytics and machine learning to assess and mitigate credit and fraud risks, developing scalable modeling solutions while collaborating with stakeholders.

The role involves designing and implementing statistical and machine learning models for transaction monitoring, leading teams, and ensuring data quality for decision-making in financial crime risk management.

The ML Engineer will develop and enhance machine learning models for credit decisioning, drive technical innovation, and collaborate across teams to deliver impactful solutions for small businesses.

The role involves designing analyses, building machine learning models, conducting causal analyses, and collaborating with data teams to support business strategies.

The Senior Applied Scientist will design and optimize credit risk models using machine learning, collaborating with cross-functional teams to translate business problems into technical solutions and drive scalable risk decisions.

Seeking a Machine Learning Engineer to build models from idea to delivery, maintain production models, and develop system architecture while collaborating on data-driven strategies.

Lead machine learning projects, collaborate with business partners, and manage data processes from research to production to drive business impact.

As a Machine Learning Engineer, you will build end-to-end ML systems for autonomous underwriting, collaborating with underwriters and engineers to advance ML capability.

Join our trading team to analyze market data, develop statistical models, apply machine learning for price prediction, and conduct backtesting for trading strategies.

As a Senior Software Engineer for AI Applications, you'll develop AI-native features, own backend systems, and ensure performance and safety in AI workflows.