Magnetar Capital, LLC seeks a Machine Learning Engineer to automate various back-office processes, impacting operational efficiency through the development and implementation of machine learning models and algorithms.
Requirements
- Applying AI techniques to generate investment theses, automate workflows, and produce quantitative model signals
- Performing sentiment analysis, conducting model fine-tuning and evaluation, and executing information extraction from unstructured text data
- Designing and implementing algorithmic approaches that drive strategic decision-making and optimize investment performance
- Constructing and managing robust data frameworks and pipelines to ensure efficient integration and accessibility of critical data
- Developing and applying comprehensive models for investment analysis, risk assessment, and portfolio optimization
- Utilize Python, Snowflake, and Databricks
Responsibilities
- Design, develop, and implement machine learning models and algorithms to automate various back-office processes.
- Develop and deploy machine learning models to automate back-office processes, such as trade reconciliation, reporting, compliance checks, and other operational tasks.
- Work closely with infrastructure engineers to integrate machine learning solutions with existing systems, ensuring scalability and security.
- Utilize Python, Snowflake, and Databricks to develop data pipelines, preprocess data, and implement machine learning algorithms.
- Continuously monitor and optimize machine learning models to improve accuracy and efficiency.
- Collaborate with cross-functional teams to identify areas where machine learning can add value and propose innovative solutions.
- Stay up to date with the latest advancements in machine learning and apply them to improve our processes.
Other
- Master’s degree, or foreign equivalent, in Computer Science, Data Science, Machine Learning, Information Engineering, or in a related field, plus 2 years of experience as a Machine Learning Engineer, Software Engineer, or related occupation.
- Up to 25% domestic travel required.
