Data Scientist, NLP & Trading Strategies (Quantitative) at Binance

Brisbane, Queensland, Australia

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Not SpecifiedCompensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Cryptocurrency, Blockchain, Financial Services, TradingIndustries

Requirements

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 space in the fast changing crypto world

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

Skills

Key technologies and capabilities for this role

PythonNLPSentiment AnalysisIntent RecognitionNamed-Entity ExtractionMachine LearningTime-Series AnalysisStatisticsProbabilityBacktestingQuantitative Trading

Questions & Answers

Common questions about this position

Is this position remote?

Yes, this is a full-time remote position.

What is the salary for this Data Scientist role?

This information is not specified in the job description.

What skills are required for this role?

Required skills include a strong mathematical foundation in probability, statistics, linear algebra, and time-series analysis; proficiency in NLU techniques like sentiment analysis, intent recognition, and named-entity recognition; proficiency in Python or R with NLP libraries such as SpaCy, NLTK, Transformers; and familiarity with ML frameworks like Scikit-learn, TensorFlow, PyTorch.

What is the company culture like at Binance?

Binance offers a flat structure with world-class talent in a user-centric global organization, an innovative environment with autonomy on fast-paced projects, and a results-driven workplace focused on career growth and continuous learning.

What makes a strong candidate for this position?

A strong candidate holds a Bachelor’s or Master’s in Computer Science, Mathematics, Statistics, Financial Engineering or related field, has the required technical skills in math, NLU, Python/R, and ML, and demonstrates a passion for exploring undefined problem spaces in the fast-changing crypto world.

Binance

Cryptocurrency exchange for trading and earning

About Binance

Binance is a cryptocurrency exchange platform where users can buy, sell, and trade a variety of cryptocurrencies, including Bitcoin and Ethereum. It offers multiple trading options such as Spot, Margin, and Futures markets, along with a peer-to-peer service for direct transactions. Users can also earn interest on their crypto holdings through Binance Earn and trade NFTs in its marketplace. Binance stands out as the largest crypto exchange by trade volume, aiming to provide comprehensive services for both new and experienced traders.

Valletta, MaltaHeadquarters

2017Year Founded

$9.7MTotal Funding

SERIES_ACompany Stage

Crypto & Web3, Financial ServicesIndustries

5,001-10,000Employees

Benefits

Competitive salary

Option to be paid in crypto

Health insurance

Flexible working hours

Remote work for many roles

Company sponsored holidays

Learning and development programs

Free language classes

Relocation support

International transfers mid-career

Risks

Regulatory scrutiny in the U.S. could impact Binance's operations and reputation.

Allegations of internal misconduct may lead to legal complications for Binance.

Expansion into new markets like Brazil poses integration and compliance challenges.

Differentiation

Binance offers a comprehensive range of crypto services, including trading and NFTs.

It is the largest crypto exchange by trade volume, serving over 166 million users.

Binance provides unique products like Binance Earn and a Launchpad for new tokens.

Upsides

Binance benefits from the growing popularity of crypto staking and yield farming.

Increased interest in Layer 2 solutions could boost Binance's trading volume.

Stablecoin adoption for cross-border transactions may increase Binance's trading volumes.

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