Posted:3 days ago| Platform: Linkedin logo

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Work Mode

On-site

Job Type

Full Time

Job Description

leading global High-Frequency Trading (HFT) firm

  • Applications are

    only open

    for candidates from

    Tier-1 institutes

    : IITs, NITs, BITS, MIT.
  • For candidates with

    less than 1 year of experience

    , a

    minimum 8.0 CGPA

    is mandatory.
  • Only the following branches are eligible:

    Computer Science, Mathematics & Computing, and Information Technology

    .
  • Profiles not meeting these criteria will not be considered.


Position: Quant Developer Kaizen| Low Latency Software Developer

Responsibilities

  • Design, develop, and implement efficient code for low latency, high throughput trading and research systems.
  • Build systems that provide seamless and highly efficient access to historical market data and trading simulations.
  • Develop, augment, and calibrate exchange simulators.
  • Collaborate with traders and senior developers globally to understand trading challenges and deliver scalable software solutions.
  • Build risk-management and performance-tracking tools.
  • Stay updated with cutting-edge technologies in high-performance computing.

Qualifications

  • 2–5 years of experience

    in the finance industry preferred.
  • Strong software development background in

    C++

    (demonstrated through coursework, projects, or open-source contributions).
  • Bachelor’s degree (or equivalent) in

    Computer Science or related field

    .
  • Knowledge of

    Linux

    operating systems.
  • Proficiency in

    C/C++ and Python

    .
  • Strong debugging, troubleshooting, and problem-solving skills.
  • Ability to manage multiple tasks in a

    fast-paced environment

    .
  • Willingness to handle responsibilities ranging from small fixes to major system development.
  • Excellent communication skills with fluency in English.

✅ If you meet the above eligibility and are excited to work on high-performance, low latency trading systems, we encourage you to apply!

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