Overview

About Global Fixed Income Team

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

• Bachelor's or Master's degree in Computer Science/Engineering or related field.
• 4+ years of relevant experience.
• Good understanding of the foundations and working principles of machine learning algorithms, linear algebra, probability theory, statistics, and optimization theory.
• Knowledge of at least one of the following domains: generative AI, statistical learning, optimization, NLP, deep learning or time series analysis.
• Should have strong proficiency in the following
• Languages: Python, SQ
• Frameworks: PyTorch, TensorFlow, Scikit-learn, Hugging Face, LangChain, LlamaInde
• Data & Storage: large‑scale distributed data analytics engines, Pandas, Snowflake, FAISS, Pinecone, Chrom
• Familiarity with cloud platforms (GCP, Azure, AWS
• Proficiency in version control systems (e.g., Git/GitHub).
• Strong analytical thinking skills with an ability to creatively solve business problems, innovating new techniques as needed.
• Excellent verbal and written communication skills.
• Self-driven and results oriented team player with ability to collaborate effectively across geographies/time zones
• Passion for solving interesting and relevant real-world problems in Finance using a data science and AI approaches.
• Prior experience in financial services or large-scale enterprise systems is a plus.