Hudson River Trading (HRT) is a global fintech firm specializing in algorithmic trading. Founded by Harvard and MIT graduates in 2002, HRT develops advanced mathematical algorithms for automated trading across various asset classes. The company employs a diverse team of experts from technology to mathematics, maintaining a strong commitment to ethical market practices and transparency.
Open Positions
Experienced Hardware Design Engineer
Proficiency in RTL design, SystemVerilog, computer architecture, and/or machine learning accelerators. Experience with network communications, processing pipelines, and/or Python/C++
TradeOps Analyst
Bachelor’s degree in a quantitative discipline and 2+ years of experience at a financial institution
Market Structure Optimization Engineer
Data analytics degree, professional experience in latency reduction, and knowledge of proprietary trading and exchange technologies
Low Level Software Engineer (C++)
Bachelor's degree in Computer Science, Engineering or related field; C++ experience required; fluency in English
Experienced C++ Developer, Distributed Compute
Bachelor's degree in Computer Science, Computer Engineering or related field, strong C++ expertise, experience collaborating with quantitative researchers and traders
Low Level Software Engineer (C++)
Bachelor's degree in Computer Science, Engineering or related field, 0 years of experience, C++ experience required
Algo Developer
B.S. in Math, CS, Stats, Physics, or related field. Strong analytical and problem-solving skills
Data Production Engineer
2+ years of experience in data engineering/science or degree in data science, experience in Python and SQL, comfortable with Linux command line
Design Verification (DV) Engineer
2+ years of experience in RTL functional verification for FPGA or ASIC, Experience with SystemVerilog and industry-standard frameworks such as UVM, Experience with Python
Experienced C++ Developer, Distributed Systems - Storage/Databases
Proficient C++ experience, distributed systems experience, and ability to work productively in a Linux environment required
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