Binance Accelerator Program - Quantitative Researcher

Binance; Dubai; Hybrid; AED 120,000 - 200,000; Full time

Job summary

A leading blockchain ecosystem is seeking candidates for the Binance Accelerator Program, designed for early career talent. Responsibilities include assisting in the development and optimization of trading models and conducting data analysis. Applicants should be current university students or recent graduates in relevant fields, with proficiency in Python. This opportunity offers competitive salary and benefits, with a focus on career growth in a dynamic environment.

Benefits

Competitive salary

Work-from-home arrangement

Career growth opportunities

Qualifications

• Currently enrolled or recent graduate in relevant fields.
• Proficiency in Python or other programming languages.
• Understanding of quantitative analysis methods.

Responsibilities

• Assist in the development of quantitative trading models.
• Conduct data analysis to improve trading strategies.
• Implement data collection systems.

Skills

Python

Quantitative analysis

Data analysis

Machine learning

Problem-solving

Education

Degree in Finance, Statistics, Mathematics, or Computer Science

Job description

Overview

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 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 world’s 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 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.