NLP Engineer- Fund House

Job Description

Our client is a fund house focusing on multi- asset classes in both public and private funds. Their dynamic investment team is looking for an NLP Data Engineer and contribute to producing high-qualit

The Company

Our client is a fund house focusing on multi- asset classes in both public and private funds. Their dynamic investment team is looking for an NLP Data Engineer and contribute to producing high-quality fundamental research using advanced data analytics. As an integral part of our team, you will employ strategic thinking and innovation to uncover valuable information, collaborating closely with analysts to derive unconventional data insights.

Responsibilities:

• Develop and scale innovative NLP/ML/DL algorithms to extract meaningful insights from unstructured textual data.
• Ensure data accuracy and quality through rigorous testing and rectification of any issues.
• Build and deploy data pipelines to enable advanced analytics capabilities.
• Extract data from websites, both in English and Chinese, utilizing web crawling tools.
• Assist with data procurement and deliver relevant analyses aligned with team objectives.
• Drive the development of data warehouses and analytics platforms.
• Construct systems capable of processing massive amounts of structured and unstructured data using batch processing methods.

Qualifications:

• Working knowledge and experience in NLP core components (NER, Entity Disambiguation).
• Proficiency in at least one of the following: Keras, Tensorflow, Caffe, or PyTorch.
• Experience training LLM models.
• 3+ years of Python development experience.
• 3+ years of building and deploying machine learning or NLP intensive AI algorithms from scratch.
• Ability to write maintainable, testable, production-grade code in general-purpose languages (Java, C/C++, Python, etc.).
• Familiarity with data crawling, extraction, and processing techniques and tools (Scrapy, pandas, MapReduce, SQL, BeautifulSoup, etc.).
• Experience with version control, open-source practices, and code review.

Preferred Qualifications:

• Familiarity with deep learning NLP toolkits like Hugging Face transformers, Deep Graph Library, DGL-KE, Spacy, ELMo, BERT.
• MS/PhD in NLP, ML, AI, Engineering, or equivalent.
• 3 years of experience as a Data Engineer handling large-scale web scrapes, data pipelines, and platforms, with a strong understanding of building cloud-based data platforms (AWS Spark, EMR, SageMaker, Comprehend).
• Experience with data quality and validation.