About the job
Join Our Dynamic Team as a Quantitative Trader
At Wincent, we are pioneers in high-frequency trading (HFT) within the cryptocurrency market, accounting for approximately 1% of the global crypto trading volume. Our vibrant team of 150 professionals, primarily comprising engineers, traders, and quantitative analysts, thrives in an unconventional work environment that emphasizes innovation and collaboration.
Our Unique Culture
We believe that work should be enjoyable and meaningful. Our culture is built on the principles of integrity and transparency, where we value honesty and straightforward communication. We foster an environment of trust, ensuring that our team members feel empowered to share their ideas and take ownership of their work.
Integrity Above All
We stand by our commitment to ethical trading practices. For us, a handshake holds more value than any contract.
Open Communication
We encourage directness and authenticity in our conversations. Life is too short for unnecessary politics.
Empowerment Through Trust
With radical transparency at our core, we share everything from compensation details to trading strategies, creating a truly collaborative environment.
Role Overview
We are on the lookout for a Quantitative Trader who can bring fresh insights and a wealth of HFT experience to our team.
Key Expectations
Essential Qualifications
Proven experience in quantitative trading within HFT environments.
Strong foundation in probability, statistics, and data modeling.
Proficiency in programming languages, particularly Python.
Demonstrated ability to take initiative and drive results independently.
Willingness to relocate to Bratislava.
Desirable Qualities (Not Mandatory)
Familiarity with cryptocurrency markets.
Experience writing production-level code.
Leadership experience preferred.
Your Responsibilities
You will collaborate within small teams in an open and transparent setting, generating innovative research ideas while also refining existing strategies. You will have the opportunity to contribute significantly to our trading approaches, whether through enhancements or the development of entirely new models.
