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Kivi Capital specializes in developing quantitative trading strategies and their execution through algorithmic trading infrastructure. The firm uses proprietary trading algorithms and strives to generate superior risk adjusted return for its clients.

As a Quant Developer, you will work at the intersection of technology and quantitative research, contributing to the design, optimisation, and execution of high-performance trading systems. You'll collaborate closely with quantitative researchers and traders to implement algorithms and build scalable infrastructure for live trading.

Responsibilities:

  • Develop and optimise low-latency, high-performance trading systems using Python and C++.
  • Collaborate with quants and traders to translate research models into production-ready code.
  • Build efficient data pipelines, backtesting frameworks, and simulation environments.
  • Work on real-time market data processing and order execution systems.
  • Ensure performance, scalability, and reliability of live trading infrastructure.

Requirements:

  • Strong proficiency in Python and C++.
  • Deep understanding of data structures, algorithms, and problem-solving.
  • Exposure to quantitative modelling, statistics, or financial markets preferred.
  • Excellent debugging and optimisation skills.
  • Ability to work in a fast-paced, collaborative, and merit-driven environment.

Good to Have:

  • Self-driven engineers with a strong mathematical and analytical mindset.
  • Passionate about finance, trading, and technology.
  • Graduates from top IITs (CSE, EE, ECE, Maths) with 8.5+ CGPA are preferred.
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