Senior Quantitative Developer

Belvedere TradingChicago, IL
19h$150,000 - $250,000

About The Position

Belvedere Trading is a leading proprietary trading firm with offices in Chicago, New York, Boulder, and Singapore. Our traders work hard to provide liquidity to the market through their market-making activities and are the masters of a diverse set of commodities, interest rates, exchange-traded funds (ETF), and equity index options. From the beginning, we began iteratively investing in our proprietary technology and committing to building our systems from the ground up. Our trading models and software systems are continually re-engineered, optimized, and maintained to stay on top of the industry. We operate best within a team environment where we challenge each other to deliver value consistently and share in the success of the company. We’re looking for a Senior Quantitative Developer to help push the boundaries of our Low Latency Systematic Volatility Trading. We are a low-latency systematic volatility trading team operating at the intersection of quantitative modeling and high-performance engineering. We build production systems that price, risk-manage, and trade derivatives in real time. We are looking for engineers who care about performance, correctness, and stability.

Requirements

  • Exceptional C++ or Java engineering skills
  • Deep understanding of concurrency, memory, and performance tuning
  • Experience building or working with high-performance or low-latency systems
  • Solid intuition for derivatives, options, and volatility
  • Strong ownership mindset and high intellectual curiosity
  • Bachelor’s degree in a STEM discipline; Graduate degree in Quantitative Finance or related field is a plus.

Nice To Haves

  • Systematic options or volatility trading experience
  • Exchange connectivity and market microstructure knowledge
  • Experience operating production trading systems

Responsibilities

  • Build and optimize quantitative components for ultra-low-latency trading systems in C++ or Java
  • Own critical components across market data, execution, pricing, modeling, and risk
  • Work as an owner to turn ideas into production
  • Identify and eliminate bottlenecks across the full trading stack
  • Deploy code that directly drives trading revenue
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