Binance Accelerator Program - Quantitative Trading Strategy Algorithm
Binance is a prominent global blockchain ecosystem known for its leading cryptocurrency exchange with millions of users across numerous countries. They prioritize security, transparency, trading speed, investor protection, and a diverse range of digital asset products and services encompassing trading, finance, education, research, social initiatives, and more. The company is dedicated to fostering a comprehensive crypto environment to enhance financial access and the freedom of money globally utilizing cryptocurrencies.
About Binance Accelerator Program:
The Binance Accelerator Program (BAP) offers a 3-6 month internship opportunity for Early Career individuals seeking to gain practical experience in the flourishing digital assets field. Participants will have the chance to enhance their skills at Binance, the world's leading blockchain ecosystem. The program includes networking opportunities and skill development sessions aimed at expanding professional connections and fostering career advancement.
Eligibility: The program is open to current university students and recent graduates.
Role Overview:
Binance is in the process of developing an AI-powered trading system focusing on traditional financial assets such as equities and on-chain assets. They are looking for a Quantitative Trading Strategy Algorithm Intern who possesses a strong interest in trading strategies and will be involved in research activities related to factor discovery, prediction, and strategy construction. The role requires blending quantitative research skills with AI technology to facilitate real-world strategy research and development.
Responsibilities:
- Engage in the discovery, development, and validation of trading factors by exploring alpha signals from various data sources.
- Contribute to designing and improving factor prediction models leveraging machine learning techniques.
- Assist in creating, testing, and validating trading strategies, including signal generation, portfolio composition, and risk management.
- Contribute to building the quantitative trading strategy workflow for seamless R&D from data to backtesting.
- Stay updated on the latest quantitative and AI-driven trading methodologies, conducting market research spanning traditional assets and on-chain assets.
Requirements:
- Current Master's or PhD student with quantitative foundation and programming skills in relevant fields like Computer Science, Mathematics, or Finance.
- Deep interest in quantitative trading, familiarity with strategy backtesting, and risk analysis.
- Proficient in Python, experienced in handling financial time-series data, and knowledge of ML/DL techniques.
- Understanding of trading mechanisms and data characteristics in either traditional financial markets or cryptocurrency assets.
- Strong research enthusiasm, initiative, and adaptability in a dynamic work environment.
Nice-to-Have:
- Involvement in quantitative research projects, competitions, or internships.
- Experience in traditional finance and on-chain markets research.
- Practical exposure to applying ML or reinforcement learning in financial scenarios.
- Contribution to financial or mathematical research projects.
Binance provides a collaborative, innovative, and diverse work environment with opportunities for professional growth and learning. Employees benefit from competitive compensation and company perks, including the option for a work-from-home setup. The company is committed to fostering an inclusive workplace and considers diversity as a key element for success.
