
Senior Quantitative Analyst
4 days ago
Key Responsibilities:
- Lead a team of data engineers, analysts and scientists to connect with internal and external stakeholders, gather data artifacts, create project plans and optimize clusters for data science workflows.
- Design and implement data pipelines to ingest data effectively, assure data quality and carry out exploratory data analysis (EDA) and feature engineering.
- Define performance metrics, research existing solutions and create optimized data models to query relevant data efficiently.
- Run machine learning (ML) and deep learning (DL) algorithms, optimize and validate models and integrate them into client ecosystems.
- Document project artifacts, log failures and exceptions and measure the impact of data science projects on business metrics.
Requirements:
- Graduate degree in a quantitative field such as computer science, statistics or applied mathematics.
- Strong working knowledge of Python's numerical and AI frameworks.
- Experience using large language models including Llama, T5, Falcon and Langchain.
- Knowledge of natural language processing evolution from traditional language models to modern large language models.
- Comfortable interpreting research papers and architecture diagrams of language models.
Benefits:
- Excellent verbal and written communication skills.
- Ability to work in a dynamic fast-paced environment.
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