BlackRock’s active fixed income portfolio strategies stretch across a range of investment styles and segments of the fixed income universe. The breadth and depth of our platform puts us in a robust position to potentially deliver attractive returns in various market environments. With a focus on alpha generation and risk management, the team uses a top-down view from lead portfolio managers and bottom-up expertise from our sector specialists.
Responsibilities:
• Design and develop generative AI and machine learning solutions to address fixed income investment and business problems
• Experiment with and implement generative AI techniques such as retrieval-augmented generation (RAG), embeddings, and LLM-based workflows
• Build, train, and fine-tune machine learning and deep learning models using appropriate frameworks and methodologies
• Analyze large structured and unstructured datasets to extract insights, engineer features, and support model development
• Apply statistical methods and hypothesis-driven experimentation to evaluate model performance and validate results
• Work closely with portfolio managers, researchers, and business stakeholders to translate investment problems into data science solutions
• Contribute to the deployment and integration of models into production systems, including APIs and scalable pipelines
• Collaborate with data engineers to ensure high-quality data pipelines and efficient data access
• Ensure adherence to responsible AI principles including model interpretability, fairness, and data governance
• Communicate model outputs, insights, and recommendations clearly to technical and non-technical stakeholders.
• Stay updated with advancements in AI, machine learning, and quantitative methods to continuously enhance solutions
Education and Qualifications/Skills:
• Bachelor's or Master's degree in Computer Science/Engineering or related field.