About VNTrading

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VNTrading is a quantitative trading firm, leveraging algorithms and low-latency technologies to provide liquidity in financial markets. Our team develops and implements advanced trading strategies that quickly respond to market dynamics. We strategically deploy proprietary capital for active trading, utilizing quantitative models to generate consistent returns.

 

Overview
 

​We are looking for a Quantitative Trader to design, implement, and improve algorithmic trading strategies. You will work across the full strategy lifecycle from signal research and backtesting to live deployment and performance monitoring with direct impact on the firm’s profitability.

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Key Responsibilities​

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• Design, implement, and maintain data-driven trading strategies

• Analyze high-frequency market data to identify patterns and inefficiencies

• Monitor strategies in production and adjust parameters based on live feedback

• Perform post-trade analysis and risk reviews to optimize performance and stability

• Collaborate with quantitative researchers and software developers to improve execution logic and system performance

 

Required Qualifications

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• Strong background in mathematics, statistics, physics, or data science, with emphasis on strong probabilistic thinking

• Proficiency in Python/C#/C++

• Analytical mindset with the ability to interpret market data and performance metrics

• Passion for financial markets and strong trading intuition, with the ability to identify patterns and assess risk in dynamic market environments

• A proactive mindset with a willingness to take ownership

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Preferred Qualifications

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• Previous experience as a quant trader is a strong advantage

• Knowledge of market microstructure and liquidity fragmentation

• Exposure to high-frequency or intraday strategies

 

We Offer

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• Base salary range: €4,000 - €8,000 gross per month based on your qualifications, competencies, and professional experience

• Year-end performance-based bonus 

• Private health insurance 

• Opportunities for professional growth and learning 

• Collaborative and dynamic work environment