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    Software Engineer - Delhi, India - Clopen Research Capital LLP

    Clopen Research Capital LLP
    Clopen Research Capital LLP Delhi, India

    Found in: Appcast Linkedin IN C2 - 20 hours ago

    Default job background
    Accounting / Finance
    Description

    Company Description

    Clopen Research Capital LLP is a proprietary trading firm based in Delhi, India. Our team consists of computer engineers and mathematicians who excel in electronic trading. We strive to build the most competitive automated trading systems and use cutting-edge technology to find valuable insights in data. With a focus on high performance, we are developing a trading platform that gives us a competitive edge in the market.

    Role Description

    • Designing, developing, and maintaining high-performance trading systems: This includes order routing, execution engines, market data feeds, and risk management tools.
    • Optimizing code for speed and efficiency: Every millisecond counts in low latency trading, so ensuring code is optimized for minimal processing time is crucial.
    • Working with low-level system programming: This may involve working with operating systems, hardware, and network protocols to squeeze out every bit of performance.
    • Developing and integrating with algorithmic trading models: The software you build needs to seamlessly work with the quantitative models used for trading decisions.
    • Ensuring system reliability and stability: Trading systems cannot afford downtime, so building robust and fault-tolerant systems is essential.
    • Monitoring and troubleshooting system performance: Continuously monitoring for bottlenecks and proactively addressing performance issues is key.

    Qualifications

    • BTech in CSE from top tier colleges.
    • Strong programming skills: This typically involves expertise in C++ or Java for high-performance applications. Familiarity with scripting languages like Python may also be beneficial.
    • Experience with low-latency systems: Understanding concepts like threading, memory management, and distributed systems is crucial.
    • Data structures and algorithms: A strong foundation in data structures and algorithms is necessary to design efficient trading systems.
    • Linux expertise: Most prop trading firms rely on Linux-based systems, so a strong understanding of the OS is essential.
    • Problem-solving skills: The ability to analyze complex problems, identify root causes, and develop efficient solutions is vital.
    • Excellent communication and teamwork skills: You will be collaborating with traders, quantitative analysts, and other engineers, so clear communication is key.
    • A passion for building high-performance systems and an interest in financial markets is a plus.

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