about 1 month ago
New York, NY, USAMid Level / Senior
Responsibilities
- Build state-of-the-art deep learning models to process large scale unstructured datasets.
- Engage with vendors to understand characteristics of datasets.
- Analyze datasets to generate descriptive statistics and propose potential applications of data.
- Conduct preliminary research and evaluation on the datasets for presentation to Portfolio Managers.
- Research new technologies for efficient data management and data retrieval.
Requirements
- PhD or Master’s degree in computer science, data science, statistics or other quantitative discipline.
- At least 3 years of experience in NLP, computer vision, speech, or a related field.
- Extensive experience with deep learning frameworks (e.g., TensorFlow, PyTorch).
- In-depth understanding of the architectures of modern language models.
- Excellent coding skills in Python.
- Programming skills in SQL.
- Experience working with large data sets.
- Strong oral and written communication skills.
- Strong team player.
- Financial industry experience preferred but not required.
- Candidates with top machine learning conference papers are preferred.
- Commitment to the highest ethical standards.