Senior Quantitative Researcher

We are currently seeking a highly skilled Senior Quantitative Researcher to join our team in our Amsterdam office. This role will be instrumental in exploring new research directions and will involve leading and managing people. Responsibilities - Using ML methods to develop and deploy statistical arbitrage strategies; - Exploring new trading ideas by analyzing market data; - Designing features and models to predict the behavior of hundreds or thousands of securities over 10-second to 10-minute timeframes with different underlyings; - Working with ML pipelines to help the strategy development process; - Driving consistent optimization and advancement of existing models; - Communicating with internal teams; - Mentoring and (potentially) leading team members. Requirements - 5+ years of relevant experience in HFT companies; - Extensive expertise in using ML models for HFT strategies; - Know-how and hands-on experience with ML pipelines running on multiple exchanges, separately or together; - Experience in building non-trivial statistical arbitrage strategies profiting from differences in prices between two or more instruments; - Willingness to acquire deeper knowledge of high-frequency trading and apply it to trading on multiple (tens of) exchanges; - Knowing how to work on an entire pipeline: from sampling data and creating features to launching strategies in production; - Proficiency in at least one programming language (Python is preferred); - Being a confident, resilient, highly motivated, and proactive person; - Being capable of working with colleagues with different backgrounds and willing to learn new things. What we offer - High base salary, social benefits, and generous bonus structure; - Access to cutting-edge compute, infrastructure, and engineering expertise to rapidly test and deploy ambitious ideas; - Ownership of initiatives that directly solve business problems; - Flexible working style and working schedule; - High-autonomy environment with minimal bureaucracy and micromanagement; - Tuition reimbursement, conference and training sponsorship.