company_site
Quantitative Trading Strategy Algorithm Engineer
Binance
Remote, AUS
Full-time
Senior
Remote
Discovered Today
Python
Free
Job Fit Check
Base Career helps you apply smarter for this job.
?%
Ready to ScanKey skills for this role
Python
Key Skills for This Role
Python
Full Job Posting
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.
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.
Apply for this job in 1 click
Skip the repetitive application forms
Install the Base Career Chrome Extension and autofill job applications across major job boards with your profile.
Trusted by over 500,000 job seekers on Base Career
More from this employer
More jobs at Binance
Senior Evaluation Algorithm Engineer
, AUS
Discovered TodayFull-time
Senior Evaluation Algorithm Engineer
, AUS
Discovered Today
Quantitative Trading Strategy Algorithm Engineer
, AUS
Discovered Today
AZ CS Rep
, UAE
Discovered YesterdayFull-time
Regional Team Test - Regular - APAC
, UAE
Discovered YesterdayFull-time
Regional Team Test - Contractor - APAC
, GBR
Discovered YesterdayContract
Java Backend Engineer, Global Travel Rule (GTR)
, AUS
Discovered 2 days agoFull-time
Java Backend Engineer, Global Travel Rule (GTR)
, AUS
Discovered 2 days ago