Enter a job title or keyword
Binance Accelerator Program Quantitative Researcher
Job Location:
Monthly Salary:
Posted:
20 July 2026 (20 days ago)
Posted:
Application Deadline:
18 October 2026
Application Deadline:
Vacancies:
1 Vacancy
Vacancies:
Job Summary
Binance is a leading global blockchain ecosystem behind the worlds 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 Binance Accelerator Program
Binance Accelerator Program is a concise fixed-term program designed for Early Career Talent to have an immersive experience in the rapidly expanding Web3 space. You will be given the opportunity to experience life at Binance and understand what goes on behind the scenes of the worlds leading blockchain ecosystem. Alongside your job there will also be a focus on networking and development which will expand your professional network and build transferable skills to propel you forward in your career. Learn about BAP Program HERE
Who may apply
Current university students and recent graduates
Responsibilities
- Assist in the development testing and optimization of quantitative trading models.
- Conduct extensive data analysis and interpretation to improve trading strategies and performance.
- Implement and manage data collection systems and other strategies that optimize statistical efficiency and data quality.
- Apply machine learning techniques for pattern recognition in financial data.
- Work closely with senior quantitative analysts to gain a comprehensive understanding of quantitative trading methodologies.
Requirements
- Currently enrolled or recent graduate in Finance Statistics Mathematics Computer Science or related field.
- Proficiency in Python or other relevant programming languages.
- Experience or theoretical understanding of quantitative analysis methods and financial markets.
- Solid understanding of complex mathematical and statistical concepts.
- Strong problem-solving skills and ability to think critically.
- Excellent communication and teamwork skills.
Why Binance
Shape the future with the worlds 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.
We may use artificial intelligence (AI) tools to support parts of the hiring process such as reviewing applications analyzing resumes or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed please contact us.
Key Skills
- Intelligence Community Experience
- Python
- Spss
- Microsoft Word
- R
- Regression Analysis
- Windows
- Stata
- Microsoft Powerpoint
- Research Experience
- Data Modeling
- Writing Skills
About Company
Binance is a blockchain ecosystem comprised of Exchange, Labs, Launchpad, Info, Academy, Trust Wallet, and Blockchain Charity Foundation (BCF). Binance Exchange is one of the fastest and most popular cryptocurrency exchange platforms in the world, capable of processing over 1.4 millio ... View more
