Research Data Scientist, NLP & Financial Signals - Remote

Overview

As a Data Scientist focusing on Quantitative Trading NLP, you will leverage natural language understanding techniques to develop and refine algorithmic trading strategies in the cryptocurrency sector.

In Short

• Research and develop quantitative trading strategies using NLU methods.
• Design and build machine-learning models for predictive trading signals.
• Perform exploratory data analysis on large datasets.
• Apply mathematical techniques to refine trading models.
• Backtest strategies against historical data.
• Optimize models to enhance performance and manage risk.
• Collaboration with data science and trading teams.
• Focus on financial news and social media text streams.
• Utilize advanced mathematical and time-series analysis.
• Drive data-informed investment decisions.

Requirements

• Bachelor’s or Master’s degree in Computer Science or related field.
• Strong foundation in probability, statistics, and linear algebra.
• Familiarity with ML frameworks like Scikit-learn and TensorFlow.
• Solid grasp of NLU techniques.
• Proficiency in Python or R.
• Hands-on experience with NLP libraries.
• A passion for the crypto world.

Benefits

• Work with a leading global blockchain ecosystem.
• Be part of a fast-paced and innovative field.
• Collaborate with a diverse team of experts.
• Opportunity to impact the future of finance.
• Flexible working environment.