Quant Researcher

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Job Description - Quant Researcher

Da Vinci is a proprietary trading house founded in 2015 and specialised in solving market inefficiencies, identifying opportunities based on volatility arbitrage strategies and providing liquidity to the markets. We are headquartered in the home of the world’s first stock market, Amsterdam, and we have just opened a second office in Mumbai. Today, we trade on the most prominent exchanges across South America, Asia and the US. Our vision is set on sustainable growth, with new offices opening in the US soon. 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, lazer-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 Researcher at Da Vinci, you’ll work alongside a fun team of highly skilled traders and engineers. Our Quant Researchers are key to developing and improving 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 once-in-a-lifetime 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 analyse and improve our existing strategies Improve and refine our data infrastructure and setup Requirements: Technical background (Maths, Physics, Engineering, Econometrics, Quant Finance or similar quantitative studies) Programming knowledge in Python, MATLAB, R or C++ Passion for research, in-depth analysis, and mathematical modelling Ability to understand mathematical theory and translate it into practice Analytical approach to solving complex problems Competitive but cooperative attitude Proactive and entrepreneurial mindset A comprehensive theoretical and practical training program provided by our dedicated in-house trainer Sign-on bonus of EUR 20k, base salary of EUR 80k Excellent variable pay and growth opportunities Outstanding performance is also rewarded with shareholding in the company A relocation package when moving from abroad, including flight coverage, temporary accommodation upon arrival, house-finding service and expat support Social events and after-work drinks Reimbursement of travel costs Sponsored gym membership In-house game room (pool table, board games and console games) Currently we are not offering internships or opportunities to write a thesis. This may change in the future. Please visit our website periodically and follow us on social media to stay up to date.

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