19 Aug
|
BlackRock
|
Mumbai
About this role
About Global Fixed Income Team
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 strong 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.
4+ years of relevant experience.
Positive understanding of the foundations
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