Machine Learning Engineer, VP

State Street is seeking a Vice President level Machine Learning Engineer to join their innovative trading solutions team. This role presents an exciting opportunity to work at the intersection of machine learning and financial trading, leveraging the Databricks platform to create cutting-edge solutions.

The position involves designing and developing sophisticated machine learning systems that process large datasets to optimize trading operations. You'll be working on critical projects including market maker & taker interaction optimization, order flow prediction, trade execution optimization, anomaly detection, and risk management systems. These solutions directly impact the efficiency and effectiveness of trading operations at a global scale.

As a Machine Learning Engineer at State Street, you'll be part of a dynamic team that values innovation and technical excellence. The role requires strong expertise in machine learning, distributed computing, and financial markets, with hands-on experience in technologies like Apache Spark, Python, and PySpark. You'll be working in a collaborative environment, partnering with cross-functional teams to integrate ML models into production trading environments.

The position offers competitive compensation ranging from $130,000 to $205,000 annually, and comes with the prestige of working at one of the world's leading financial institutions. State Street maintains a strong commitment to diversity, inclusion, and professional development, providing an environment where employees can thrive and grow their careers.

This role is perfect for an experienced ML engineer who is passionate about applying cutting-edge machine learning techniques to real-world financial challenges. You'll have the opportunity to work on complex problems that directly impact global financial markets while being supported by a company that values innovation and professional growth.