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Full-Time Opportunity: This is a permanent, full-time position with a competitive package and real career growth potential.
Job Description
Key Responsibilities:
- Develop, implement, and optimize large language models (LLMs) for applications such as sentiment analysis, news and market signal extraction, data enrichment, and predictive modeling.
- Collaborate with quant researchers and portfolio teams to design AI-driven tools that enhance investment research and trading workflows.
- Handle large-scale structured and unstructured financial datasets to create robust NLP pipelines.
- Continuously improve the performance, efficiency, and scalability of LLMs for real-time use cases.
- Stay ahead of developments in NLP, generative AI, and financial machine learning, ensuring that the team integrates cutting-edge techniques into applied research.
- Deploy ML models into production, integrating seamlessly with research and trading infrastructure.
- Identify and mitigate potential risks in AI models, includin...