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▷ (Apply Now) Quantitative Developer

▷ (Apply Now) Quantitative Developer

HuntingCube Recruitment SolutionsIndia
9 hours ago
Job description

This role is with a leading global High-Frequency Trading (HFT) firm (client name cannot be disclosed).

  • 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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