Design, develop, and maintain data pipelines for ingesting, transforming, and analyzing large-scale trading datasets. Implement and productionize advanced analytics and machine learning workflows—leveraging Spark, Python and modern big data technologies. Collaborate closely with Data Scientists and Engineering team members to operationalize models and automation. Optimize code and data workflows for performance, scalability, and reliability. Leverage MLOps components, automate feature engineering as part of robust, production ML workflows. Write clean, well-tested, well-documented code and participate in code reviews. Bachelor's degree in Computer Science, Engineering, Mathematics, or a related technical field. 5+ years of relevant professional experience in software development, data engineering, or machine learning applications. Programming: Proficiency with Python (ex. Pandas, NumPy, Jupyter Notebooks), SQL for data engineering and analytics. Exposure and/or interest in the latest technologies in machine learning, AI (Modern AI: Generative AI, Multi-Agent Systems, MCP, Agentic AI architectures) and big data; advocate for best practices across the team. Experience with Java, Scala (e.g. Spark) Big Data & ML Platforms: Spark, Databricks, Snowflake, Azure Machine Learning & MLOps: Feature stores, model registry, MLOps frameworks, continuous model monitoring and retraining, scalable model deployment Front-end Development: React (for building dashboards or UI integrations) Build a career with impact. Visit morganstanley.com for more information. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren't just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There's also ample opportunity to move about the business for those who show passion and grit in their work. To learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about-us/global-offices into your browser. We work to provide a supportive and inclusive environment where all individuals can maximize their full potential.
