Job Description:
We are in search of a talented and experienced Natural Language Processing (NLP) specialist to join our team on a part-time/full-time basis. The primary focus will be to integrate sentiment analysis into our trading algorithm, enhancing its ability to make data-driven decisions based on market sentiments derived from various textual sources.
Responsibilities:
Develop and implement NLP models for sentiment analysis, specifically tailored for financial markets.
Extract and analyze sentiment from a range of sources, including news articles, social media, financial reports, and market commentary.
Integrate sentiment analysis models with existing trading algorithms to inform trading strategies.
Collaborate with data scientists and developers to refine data pipelines and optimize algorithm performance.
Conduct backtesting and present insights on the impact of sentiment analysis on trading outcomes.
Stay updated with the latest developments in NLP and apply cutting-edge techniques to our models.
Requirements:
Proven experience in NLP and sentiment analysis.
Strong programming skills in Python, including experience with NLP libraries (such as NLTK, spaCy, or similar).
Background in finance or experience working with financial data is highly preferred.
Familiarity with machine learning and data science principles.
Excellent analytical and problem-solving abilities.
Strong communication skills and ability to work in a collaborative environment.
Degree in Computer Science, Linguistics, Data Science, or a related field.
What We Offer:
Opportunity to work on innovative projects in the intersection of finance and AI.
Competitive salary or hourly rate.
Flexible working hours and potential for long-term collaboration.
A dynamic and supportive team environment.
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