Quantitative Researcher

Eqvilent is seeking a Quantitative Researcher to operate and optimize automated latency-sensitive trading systems. The role involves monitoring executions, adjusting parameters based on market conditions, and suggesting system improvements while maintaining a strong track record in algorithmic trading.

• Operate automated latency-sensitive trading systems
• Monitor the systems' executions and open positions
• Adjust system parameters based on market conditions
• Manually trade to reduce risk when necessary
• Suggest automation and improvements to the systems
• Communicate relevant news, market events, and system behavior to team members
• Stay current with system functionality

• 3+ years of algorithmic trading experience
• Proven track record in the last 2-3 years
• Own trading strategies and ideas
• 1+ years experience in Python
• Ability to perform well in remote/hybrid team with variable, project-based responsibilities
• Nice-to-have: Experience with international HFT companies and hedge funds
• Nice-to-have: Performance in quantitative fields or contests (hackathons, Olympiads, academic contests)

• Remote work from anywhere in the world
• Access to global offices anytime
• Flexible schedule
• 40 paid days off
• Competitive salary and performance-based bonuses
• Cutting-edge hardware and technology
• Supportive corporate culture with internal events