Eqvilent is a leading quantitative trading firm that specializes in providing liquidity across global financial markets. Utilizing advanced technologies such as Deep Learning, FPGA, and Signal Processing, Eqvilent offers innovative solutions to enhance market efficiency and trading strategies. The company's core focus on cutting-edge technology and its commitment to liquidity provision make it a distinctive player in the industry.
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Self-directed individual with unique skills and expertise
Lead of Trading Operations
Experience in similar positions, attention to details, efficient communication in English
Head of Trading Infrastructure
2+ years of experience in lead role, hands-on experience with globally distributed bare-metal infrastructure, and ability to manage SLAs
Quantitative Researcher
3+ years of algorithmic trading experience, 1+ years of Python experience, proven track record
ML Engineer
Strong experience in machine learning, analytical and problem-solving skills, experience in developing and deploying machine learning pipelines and workflows
Quantitative Analyst
Python, software development basics, Pandas, NumPy, attentiveness, accuracy, perfectionism in code
C++ Software Engineer (Market Data)
C++ development experience, multithreading knowledge, and strong algorithms understanding
FPGA Engineer
Bachelor's or Master's degree in Electrical Engineering or related field, proficiency in Verilog/SystemVerilog, experience with FPGA design tools
DL Researcher
Proficient knowledge in Deep Learning domains, experience in developing scalable ML pipelines, and competency in conducting experiments
MLOps Engineer
5+ years of experience in software development, strong knowledge of Python, and familiarity with Docker
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