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Quantitative Trading Strategy Algorithm Engineer
Hong Kong / Taiwan, Taipei / Australia, Sydney
Engineering – Data Science/AI /
Full-time: Remote /
Remote
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Binance is a leading global blockchain ecosystem behind the world’s largest cryptocurrency exchange by trading volume and registered users. We are trusted by 300+ 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
We are building an AI-driven trading system that covers traditional financial assets (equities, etc.) and on-chain assets. We are seeking algorithmic researchers with deep understanding of trading strategies to participate in the full lifecycle — from factor mining and prediction to strategy construction and system integration — combining quantitative research expertise with AI technology to build a trading strategy system that generates sustainable alpha.
Responsibilities
- Factor Mining & Validation: Discover, construct, and validate trading factors from multi-source data including market data, fundamental data, and on-chain data. Continuously iterate the factor library to identify effective alpha signals.
- Factor Prediction Modeling: Design and optimize prediction models using machine learning and deep learning methods to improve signal accuracy and stability while controlling overfitting and strategy decay.
- Strategy Design & Backtesting: Lead the design, backtesting, and live deployment validation of trading strategies — covering signal generation, portfolio construction, risk control, and execution optimization. Take ownership of strategy P&L and risk performance.
- Quant Strategy Pipeline Development: Build and refine the end-to-end quantitative trading strategy pipeline — from data ingestion, factor computation, model prediction, backtesting through to live execution — improving research efficiency, deployability, and reproducibility.
- Trading System Integration: Collaborate with engineering and data teams to solve technical challenges including data connectivity, low-latency execution, and strategy deployment, ensuring stable strategy operation in production.
- Cross-Market AI Trading: Explore the adaptation and implementation of AI-driven trading across both traditional financial markets (equities, futures) and on-chain asset markets, leveraging the unique characteristics of each.
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Requirements
- Master's degree or above in Computer Science, Mathematics, Statistics, Financial Engineering, Physics, or related fields, with a solid quantitative foundation and programming proficiency.
- Proven experience in quantitative trading strategy R&D, familiar with the full workflow of factor mining, factor prediction, strategy backtesting, and live deployment. Deep understanding of strategy P&L, risk, and alpha decay.
- Proficient in Python, with hands-on experience applying ML/DL methods in quantitative scenarios and processing large-scale financial time-series data.
- Familiarity with trading mechanisms and data characteristics of at least one market (equities, futures, or other traditional financial markets; or cryptocurrency / on-chain assets). Understanding of real-world factors such as trading costs, liquidity, and execution slippage.
- Experience building a complete strategy pipeline or quantitative research platform, with the ability to independently deliver an end-to-end strategy loop from data to live trading.
- Strong research capability and results-driven mindset, with the ability to continuously optimize strategy performance in a fast-iteration environment.
Bonus Qualifications
- Track record of managing capital at scale in live trading or generating sustained alpha.
- Cross-market quantitative experience spanning both traditional finance and on-chain markets (DeFi, CEX, DEX).
- Familiarity with high-frequency trading, market-making strategies, or cross-market arbitrage.
- Practical experience applying frontier AI methods (large language models, reinforcement learning) to trading strategies.
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.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. 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.
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How do I get a job at DeFi?
Getting a job in the DeFi (decentralized finance) industry can be a competitive process, but there are a few steps you can take to increase your chances of finding a job in this field:
- Build up your skills and knowledge: To work in DeFi, you'll likely need to have a strong understanding of blockchain technology, as well as other related technologies such as smart contracts and cryptocurrency. Consider taking online courses or earning a degree in a relevant field to build up your skills and knowledge.
- Network with industry professionals: Attend meetups and conferences related to DeFi and make connections with professionals in the industry. Networking can be a valuable way to learn about job openings and get your foot in the door at a DeFi company.
- Create a strong online presence: Many DeFi companies will look at your online presence (such as your LinkedIn profile and personal website) when considering you for a job. Make sure to showcase your skills and accomplishments online and keep your profile up to date.
- Apply for relevant job openings: Keep an eye out for job openings at DeFi companies and apply for positions that align with your skills and experience. Apply for DeFi Jobs without Experience. Tailor your resume and cover letter to the specific job you're applying for and highlight any relevant experience or skills you have.
- Consider internships or volunteer work: DeFi Internships or volunteer work can be a great way to get your foot in the door and gain valuable experience in the DeFi industry. Many companies also offer internships to students, so consider applying for an internship if you're still in school.
- Be persistent: keep trying if you don't get a job right away. It can take time to find the right opportunity, but with the right skills and determination, you can land a job in the DeFi industry.