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Quantitative Researcher
2 months ago
About Akuna:
Akuna Capital is an innovative trading firm with a strong focus on collaboration, cutting-edge technology, data driven solutions, and automation. We specialize in providing liquidity as an options market-maker – meaning we are committed to providing competitive quotes that we are willing to both buy and sell. To do this successfully, we design and implement our own low latency technologies, trading strategies, and mathematical models.
Our Founding Partners first conceptualized Akuna in their hometown of Sydney. They opened the firm's first office in 2011 in the heart of the derivatives industry and the options capital of the world – Chicago. Today, Akuna is proud to operate from additional offices in Sydney, Shanghai and London.
What you'll do as a Quantitative Researcher on our Delta One team at Akuna:
Akuna's Quantitative Trading and Research team is looking to add Quant Researchers to a team of mathematicians, statisticians and technologists. This team creates trading strategies scientifically by combining its quantitative expertise with sophisticated understanding of derivatives and financial markets. We are looking for talented researchers who can help improve Akuna's performance and execution. In this role you will:
- Gain deep knowledge of numerous worldwide exchanges, including their features, connectivity and messaging
- Analyze and model market and competitor behavior and market impact
- Help identify, design, backtest and optimize low latency strategies using big data
- Build metrics to evaluate strategy execution and perform post trade analysis
- Work with traders and developers to identify and incorporate new signals into our trading strategies
- Identify and implement infrastructure improvements to minimize overall latency and maximize performance
Qualities that make great candidates:
- BS/MS/PHD degree
- Substantial ability in programming languages (C++, Python, Rust, Haskell)
- 3+ years of experience trading futures and/or equities at a proprietary trading firm
- Experience working with large datasets, especially tick-based time series data
- Strong statistical skills
