Quant Algo Developer - Equity Derivatives - Market Making
Contact email:
hhorton@vertuspartners.com
Job ref:
CPP/HH/1302_1739447337
Are you passionate about algorithmic trading and building cutting-edge solutions in a fast-paced, trader-facing environment? We're looking for an experienced C++ Quant Developer to join a growing team and work on high-performance trading algorithms in the Equity Derivatives space.
What You'll Be Doing:
* Algorithm Development: Enhance and refine existing equity trading algorithms while contributing to the development of new market-making strategies.
* Low-Latency Trading: Build execution and market-making algorithms that interact directly with exchanges, including automated RFQ pricing for options.
* Quantitative Problem-Solving: Work closely with traders to develop solutions for portfolio optimisation, large-scale data analysis, and statistical modeling.
* Market Structure & Trading Expertise: Apply your knowledge of market microstructure, volatility trading, options pricing, hedging, and Delta1 products (futures, ETFs, stocks, swaps).
* Ownership & Collaboration: Engage directly with traders and the Head of the EqD desk, ensuring seamless integration of algorithms into trading strategies.
Requirements:
* Strong C++ (C++17, C++20) & KDB/Q Experience - Essential for building robust, high-performance trading systems.
* Low Latency Expertise - A strong understanding of optimizing for speed in trading environments.
* Quantitative Background - Hands-on experience with large data analysis, statistical techniques, and trading models.
* Trader-Facing Mindset - Ability to engage with the desk, understand business needs, and take ownership of algo development.
Why Apply?:
* Work on greenfield algorithmic trading projects, driving innovation in execution and market-making strategies.
* Be part of a highly interactive trading environment with direct access to traders and decision-makers.
* Shape the future of trading technology, building and optimizing algorithms that impact real-time market dynamics.
By submitting your details you agree to our T&Cs
#J-18808-Ljbffr