Data Scientist, NLP & Trading Strategies (Quantitative)
Job Description
Binance is a leading global blockchain ecosystem behind the world’s largest cryptocurrency exchange by trading volume and registered users. We are trusted by 300+ million people in 100+ countries for our industry-leading security, user fund transparency, trading engine speed, deep liquidity, and an unmatched portfolio of digital-asset products. Binance offerings range from trading and finance to education, research, payments, institutional services, Web3 features, and more. We leverage the power of digital assets and blockchain to build an inclusive financial ecosystem to advance the freedom of money and improve financial access for people around the world.
About the Role
As a Data Scientist focusing on Quantitative Trading NLP, you will leverage natural language understanding techniques such as sentiment analysis, intent recognition, and named-entity extraction on financial news, social media, and other text streams to develop and refine algorithmic trading strategies.
You’ll design and implement machine-learning models in Python, apply advanced mathematical and time-series analysis to uncover predictive signals, and rigorously backtest and optimize strategies to maximize returns while managing risk. Collaboration and clear communication across data science and trading teams are key to iteratively improving model performance and driving data-informed investment decisions.
Requirements
Responsibilities: Research and develop quantitative trading strategies using NLU methods such as sentiment analysis, intent recognition, named-entity extraction on financial news, social media, and other text sources Design and build machine-learning models to uncover predictive trading signals and perform exploratory data analysis on large, complex datasets Apply mathematical techniques (probability, statistics, time-series analysis) to refine and strengthen trading models Rigorously backtest strategies against historical data and iteratively optimise models to boost performance and curb risk Requirements: At least 2 years of relevant experience in data science, machine learning, or natural language processing Bachelor’s or Master’s degree in Computer Science, Mathematics, Statistics, Financial Engineering, or a related discipline Strong mathematical foundation: probability, statistics, linear algebra, time-series analysis, and familiarity with ML frameworks (Scikit-learn, TensorFlow, PyTorch) Solid grasp of NLU techniques, including sentiment analysis, intent recognition, and named-entity recognition Proficiency in Python or R, with hands-on experience in NLP libraries (SpaCy, NLTK, Transformers) A passion for exploring undefined problem spaces in the fast-changing crypto world
About Binance
Binance is at the forefront of the global blockchain revolution, serving as the world's largest cryptocurrency exchange by trading volume. Our mission is to increase the freedom of money globally, and we are committed to building a robust ecosystem of products and services that empower individuals with financial autonomy. From advanced trading platforms to innovative blockchain solutions, we are constantly expanding our offerings to meet the evolving needs of the digital economy. Our culture thrives on innovation, collaboration, and a relentless pursuit of excellence. We foster an environment where bold ideas are encouraged, and every team member, especially in our growing Pakistani operations, is empowered to contribute significantly to our global impact. We value transparency, integrity, and a strong sense of responsibility to our users and the broader blockchain community. Working at Binance means being part of a diverse, global team that is passionate about shaping the future of finance. Joining Binance in Pakistan offers unparalleled opportunities for career growth and professional development within a rapidly expanding industry. With hundreds of open positions worldwide, we are looking for talented individuals who are eager to make a tangible difference. If you are driven by challenge, keen to innovate, and want to be part of a company that is redefining the financial landscape, explore our careers and embark on a rewarding journey with Binance.
Ready to Apply?
To submit your application for this position, please visit Binance's official website and follow their application process.