– 5+ years of relevant experience in a HFT companies;
– Extensive expertise in using ML models for HFT strategies;
– Knowledge how-to and hands-on experience with ML pipelines running for multiple exchanges separately/together;
– Experience in building non-trivial statistical arbitrage strategies profiting from differences in prices between 2 and more instruments;
– Willingness to acquire deeper knowledge in high frequency trading and apply it to trading on multiple (tens of) exchange;
– 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
Bonus:
– Experience with mentoring, people management and leading interns or a team of researchers
– 5+ years of relevant experience in a HFT companies;
– Extensive expertise in using ML models for HFT strategies;
– Knowledge how-to and hands-on experience with ML pipelines running for multiple exchanges separately/together;
– Experience in building non-trivial statistical arbitrage strategies profiting from differences in prices between 2 and more instruments;
– Willingness to acquire deeper knowledge in high frequency trading and apply it to trading on multiple (tens of) exchange;
– 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
Bonus:
– Experience with mentoring, people management and leading interns or a team of researchers