Top Financial Services Machine Learning Engineer Jobs in New York City, NY

As a Senior Machine Learning Engineer, you will develop AI systems in high-stakes environments, ensuring reliability and customer impact. You will improve production ML systems, optimize models, and collaborate with research teams to deploy solutions that enhance productivity in complex domains.

Lead AI solutions development in finance using statistical methods and machine learning. Mentor, implement models, ensure compliance, and collaborate for effective tool integration.

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

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

Develop and implement machine learning models for evaluating disputes and chargebacks, and create a model orchestration layer. Collaborate on data use for enhanced user experiences.

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.

The role involves designing and deploying strategies for congestion revenue rights, applying quantitative methods, and developing machine learning models.

The Machine Learning Researcher at Virtu will develop and implement innovative deep learning models to solve complex market problems, collaborating with cross-functional teams and directly impacting business outcomes.

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 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.