Top Fintech Machine Learning Engineer Jobs in New York City, NY

The role involves leveraging data science techniques and machine learning to drive business solutions, enhance data applications, and collaborate with stakeholders and data engineers.

Lead the development of statistical and machine learning solutions for actuarial pricing and reserving, collaborating with various stakeholders and managing model lifecycles.

Lead research and development of advanced fraud detection ML models, experiment design, productionizing prototypes, and mentoring engineers.

Lead the implementation of machine learning models, mentor junior staff, and ensure data integrity while collaborating with stakeholders.

The role involves designing, developing, and deploying advanced AI/ML solutions, collaborating with teams to solve data science problems, and advising clients on technical implementations.

The Machine Learning Performance Engineer will build training and inference pipelines, enhance deep learning frameworks, improve performance, and collaborate with researchers and engineers to optimize trading systems.

Design and implement AI workflows, develop machine learning models, integrate them into applications, and ensure compliance with AI governance.

The role involves developing advanced machine learning algorithms, solving complex optimization problems using reinforcement learning techniques, and leading technical projects while optimizing solutions for operational efficiency.

Role involves monetising alpha through execution strategies in futures markets, developing execution logic, collaborating on research, and monitoring strategies' performance.

The Machine Learning Engineer will own the ML lifecycle, develop production models, monitor performance, and collaborate with cross-functional teams to enhance business onboarding and fraud prevention applications.