Graduate Quant Trader

About Da Vinci

Da Vinci is a proprietary trading house founded in 2015 and specialised in solving market inefficiencies, identifying opportunities based on volatility arbitrage and delta1 strategies and providing liquidity to the markets. We are headquartered in the home of the world’s first stock market, Amsterdam, and we have offices in Miami, Mumbai and Hong Kong. Today, we trade on the most prominent exchanges across Asia and the US. Our vision is set on sustainable growth and collaboration across teams and offices.

We always keep our work smart and innovative and are building a team of trading enthusiasts. The key to our success is hiring not only intelligent but inventive, laser-focused and highly efficient individuals. Across all departments; trading, quantitative research and development alike, Da Vinci is made up some of the sharpest minds and most passionate players in the industry. We are non-hierarchical and support employees in exploring their interests and strengths, placing no limit on personal growth.

About the Role

As a Graduate Quant Trader at Da Vinci, you’ll work alongside a fun team of highly skilled traders and engineers. Our Quant Traders are key to developing, improving and implementing algorithmic trading strategies that help us reach our goal of building one of the best proprietary trading firms in the world.

Da Vinci offers an exciting and dynamic work environment, where employees are given the freedom to come up with great ideas and the space to push these to completion. This is a unique opportunity to be part of a successful and fast-growing company.

Responsibilities:

• Analyse market data to build new trading strategies
• Develop tools that translate data analysis results into useful inputs for trading
• Continuously monitor trades and improve our existing strategies
• Evaluate prospective markets for opportunities

Requirements:

• Technical background (Maths, Physics, Engineering, Econometrics, Quant Finance or similar quantitative studies) with an interest for the financial markets
• Programming knowledge in Python, MATLAB, R or C++
• Ability to understand mathematical theory and translate it into practice
• Good communication skills
• Attention to detail
• Analytical approach to solving complex problems
• Competitive but cooperative attitude
• Proactive and entrepreneurial mindset

Benefits

• A comprehensive theoretical and practical training program provided by our dedicated in-house trainer
• Sign-on bonus of EUR 20k, base salary of EUR 100k
• Excellent variable pay and growth opportunities
• Outstanding performance is also rewarded with shareholding in the company
• A relocation package when moving from abroad, including a relocation budget, flight coverage, house-finding service and expat support
• Meals during work hours
• Social events and after-work drinks
• Reimbursement of travel costs
• Sponsored gym membership and in-house chair massage
• In-house game room (pool table, board games and console games)