Quantitative Researcher

Eqvilent is an international company at the forefront of high-frequency trading (HFT), renowned for its team of top-tier developers and data scientists. The company operates across various global platforms, engaging in both traditional and cryptocurrency markets. The Quantitative Researcher will join this dynamic environment, contributing to the development and optimization of advanced trading systems.

In this role, the Quantitative Researcher will operate automated, latency-sensitive trading systems, monitor executions and open positions, and adjust system parameters in response to market conditions. Responsibilities also include manual trading to mitigate risk when necessary, suggesting automation improvements, communicating relevant market events to team members, and staying updated on system functionalities.

Candidates should possess at least 3 years of experience in algorithmic trading with a proven track record over the past 2-3 years. Proficiency in Python for at least 1 year is required, along with the ability to perform effectively in remote or hybrid teams with variable, project-based responsibilities. Having personal trading strategies or ideas is also essential.

Preferred qualifications include experience with international HFT companies or hedge funds and notable performance in quantitative fields or contests such as hackathons, Olympiads, or academic competitions.

Eqvilent offers a competitive salary complemented by performance-based bonuses. Employees enjoy a flexible schedule, 40 paid days off, and the opportunity to work remotely from anywhere in the world. The company provides access to global offices, cutting-edge hardware and technology, and fosters a supportive and empowering corporate culture with internal events and a welcoming group of highly qualified international professionals.