Top Fintech Machine Learning Engineer Jobs

Lead the design and development of ML solutions for fraud detection across travel and expense, mentor junior team members, and collaborate on fraud strategy.

As a Quant Trading Intern, you'll analyze trading opportunities, develop tools for profitability, and receive mentorship in a dynamic environment.

Lead R&D to design and deploy ML models for conversational agents, enhance automation in customer support, and build scalable AI systems across business units.

Algorithm Developers build predictive trading models by analyzing market data. They collaborate with engineers to enhance trading efficiency using statistical analysis and machine learning.

The role involves building machine learning models to detect and reduce fraud in Block's Cash App and Square ecosystems. Responsibilities include collaboration with cross-functional teams, developing ML-driven solutions, and improving the ML lifecycle efficiency, while also mentoring teammates.

The role involves developing machine learning models to minimize fraud losses, conducting analysis, and collaborating across business units to improve data-driven modeling solutions.

The role involves designing and deploying machine learning models, optimizing large language models, and collaborating with cross-functional teams to enhance data management for alternative investments.

As an Applied Machine Learning Engineer, you will develop AI and ML models to improve healthcare outcomes. Collaborate with teams to implement and optimize machine learning techniques and algorithms.

As a Senior Machine Learning Engineer, you will build and optimize pipelines, ensure model quality, and collaborate with teams to enhance fraud detection systems.

The Senior Applied Scientist will build models for credit risk and fraud functions, leveraging machine learning and collaborating with teams to derive insights from data.