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Data Scientist, NLP & Trading Strategies (Quantitative) Job Opening In WorkFromHome – Now Hiring Binance


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 over 280 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.

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

  • 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.

Why Binance

  • Shape the future with the world’s leading blockchain ecosystem.

  • Collaborate with world‑class talent in a user‑centric global organization with a flat structure.

  • Tackle unique, fast‑paced projects with autonomy in an innovative environment.

  • Thrive in a results‑driven workplace with opportunities for career growth and continuous learning.

  • Competitive salary and company benefits.

  • Work‑from‑home arrangement (the arrangement may vary depending on the work nature of the business team).

Binance is committed to being an equal opportunity employer.

We believe that having a diverse workforce is fundamental to our success.

By submitting a job application, you confirm that you have read and agree to our Candidate Privacy Notice.

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Required Skill Profession

Database, Analytics & Bi


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Unlock Your Data Scientist Potential: Insight & Career Growth Guide


Real-time Data Scientist Jobs Trends (Graphical Representation)

Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph here. Uncover the dynamic job market trends for Data Scientist in WorkFromHome, New Zealand, highlighting market share and opportunities for professionals in Data Scientist roles.

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Are You Looking for Data Scientist, NLP & Trading Strategies (Quantitative) Job?

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The Work Culture

An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Binance adheres to the cultural norms as outlined by Expertini.

The fundamental ethical values are:

1. Independence

2. Loyalty

3. Impartiapty

4. Integrity

5. Accountabipty

6. Respect for human rights

7. Obeying New Zealand laws and regulations

What Is the Average Salary Range for Data Scientist, NLP & Trading Strategies (Quantitative) Positions?

The average salary range for a varies, but the pay scale is rated "Standard" in WorkFromHome. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

What Are the Key Qualifications for Data Scientist, NLP & Trading Strategies (Quantitative)?

Key qualifications for Data Scientist, NLP & Trading Strategies (Quantitative) typically include Database, Analytics & Bi and a list of qualifications and expertise as mentioned in the job specification. The generic skills are mostly outlined by the . Be sure to check the specific job listing for detailed requirements and qualifications.

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Interview Tips for Data Scientist, NLP & Trading Strategies (Quantitative) Job Success

Binance interview tips for Data Scientist, NLP & Trading Strategies (Quantitative)

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Before the Interview:

Research: Learn about the Binance's mission, values, products, and the specific job requirements and get further information about

Other Openings

Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

Dress Professionally: Choose attire appropriate for the company culture.

Prepare Questions: Show your interest by having thoughtful questions for the interviewer.

Plan Your Commute: Allow ample time to arrive on time and avoid feeling rushed.

During the Interview:

Be Punctual: Arrive on time to demonstrate professionalism and respect.

Make a Great First Impression: Greet the interviewer with a handshake, smile, and eye contact.

Confidence and Enthusiasm: Project a positive attitude and show your genuine interest in the opportunity.

Answer Thoughtfully: Listen carefully, take a moment to formulate clear and concise responses. Highlight relevant skills and experiences using the STAR method.

Ask Prepared Questions: Demonstrate curiosity and engagement with the role and company.

Follow Up: Send a thank-you email to the interviewer within 24 hours.

Additional Tips:

Be Yourself: Let your personality shine through while maintaining professionalism.

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Turn Off Phone: Avoid distractions during the interview.

Final Thought:

To prepare for your Data Scientist, NLP & Trading Strategies (Quantitative) interview at Binance, research the company, understand the job requirements, and practice common interview questions.

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