Graduate quant researcher at Da Vinci

Deadline: As soon as possible

Graduates

Companies

Location(s)

Netherlands

Amsterdam

Overview

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.

Details

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
Evaluate prospective markets for opportunities

ABOUT US

Da Vinci is founded in 2015 by a group of young trading professionals who wanted to do things differently. We are meritocratic by nature and think that empowering talent within our organization is the only way forward.

This firm belief helped us to create a highly successful company that is growing rapidly. Testimony to this belief is the fact that the company itself is owned and managed by its own employees. Our ultimate goal is to become the best trading company in the world. Our trading focuses on volatility arbitrage as well as providing liquidity to end investors. Da Vinci is a pure proprietary trading firm; this means that we trade with our own money, without clients creating natural risk awareness. We aim to create the best proprietary trading house in the world. We like to work with smart, talented and passionate people from all around the world.

Opportunity is About

Computers & IT Economics & Business Physics & Math

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Eligibility

Candidates should be from:

Afghanistan Albania Algeria Andorra Angola Antigua and Barbuda Argentina Armenia Australia Austria Azerbaijan Bahamas Bahrain Bangladesh Barbados Belarus Belgium Belize Benin Bermuda Bhutan Bolivia Bosnia and Herzegovina Botswana Brazil Brunei Bulgaria Burkina Faso Burundi Cambodia Cameroon Canada Cape Verde Central African Republic Chad Chile China Colombia Comoros Congo: Democratic Republic Congo: Republic Cook Islands Costa Rica Croatia Cuba Cyprus Czech Republic Denmark Djibouti Dominica Dominican Republic East Timor Ecuador Egypt El Salvador Equatorial Guinea Eritrea Estonia Ethiopia Fiji Finland France Gabon Gambia Georgia Germany Ghana Gibraltar Greece Grenada Guatemala Guinea Guinea-Bissau Guyana Haiti Honduras Hong Kong Hungary Iceland India Indonesia Iran Iraq Ireland Israel Italy Ivory Coast Jamaica Japan Jordan Kazakhstan Kenya Kiribati Korea, North Korea, South Kosovo UN1244 (*not recognized by majority of countries) Kuwait Kyrgyzstan Laos Latvia Lebanon Lesotho Liberia Libya Liechtenstein Lithuania Luxembourg Macau North Macedonia Madagascar Malawi Malaysia Maldives Mali Malta Marshall Islands Mauritania Mauritius Mexico Micronesia Moldova Monaco Mongolia Montenegro Morocco Mozambique Myanmar Namibia Nauru Nepal Netherlands New Zealand Nicaragua Niger Nigeria Niue Norway Oman Pakistan Palau Palestinian Authority Panama Papua New Guinea Paraguay Peru Philippines Poland Portugal Puerto Rico Qatar Romania Russia Rwanda Saint Kitts and Nevis Saint Lucia Saint Vincent and the Grenadines Samoa San Marino Sao Tome and Principe Saudi Arabia Senegal Serbia Seychelles Sierra Leone Singapore Slovakia Slovenia Solomon Islands Somalia South Africa South Sudan Spain Sri Lanka Sudan Suriname Swaziland Sweden Switzerland Syria Taiwan Tajikistan Tanzania Thailand Togo Tonga Trinidad and Tobago Tunisia Turkey Turkmenistan Tuvalu Uganda Ukraine United Arab Emirates United Kingdom United States of America Uruguay Uzbekistan Vanuatu Vatican City Venezuela Vietnam Western Sahara Yemen Zambia Zimbabwe

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Description of Ideal Candidate

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
Good communication skills
Attention to detail
Analytical approach to solving complex problems
Competitive but cooperative attitude
Proactive and entrepreneurial mindset

Dates

Deadline: As soon as possible

Cost/funding for participants

Fully Funded

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
In-house game room (pool table, board games and console games)

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