Junior Quantitative Developer – Data Analysis

About Akuna:
Akuna Capital is a young and booming trading firm with a strong focus on cutting-edge technology, data driven decisions and automation. Our core competency is providing liquidity as an options market-maker – meaning we provide 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, Andrew Killion and Mitchell Skinner, 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 Cambridge (USA).

What you’ll do as a Junior Quantitative Developer on the Data Analysis team at Akuna:

We are looking for Junior Quantitative Developers in Chicago to work with a world class team of Quant Developers and Traders.

Financial markets are complex and competitive and require sharp, creative minds to find insights. Quantitative Developers on our Data Analysis teams are responsible for leading the effort to find the insights that differentiate us from our competition. Finding these insights is a difficult task that requires enthusiastic problem solving and a willingness to challenge our current thinking. Along the way, our Quantitative Developers apply the latest techniques to identify insights and deliver high quality code, tools and visualizations used throughout our organization. In this role you will:

• Create, validate and analyze complex datasets used throughout our organization.
• Design, implement, maintain and improve tools used by Developers, Quants, Traders and Support personnel
• Produce clean, well-tested code with a clear design
• Research and develop algorithm and strategy improvements.
• Write and optimize data analysis code and calculation intensive models

Qualities that make great candidates:

• Pursuing a BS/MS/PhD in a technical field – Physics, Math, Engineering, Computer Science, or equivalent.
• Passionate, pragmatic problem solver with the ability to independently pursue solutions to complex problems
• Ability to communicate complex technical topics in a clear and concise way
• Demonstrated experience with data analysis, either on a personal, school, or research project
• Demonstrated experience developing software using Python on Linux. Experience with the common Python data libraries (Pandas, numpy, etc…) is a strong plus
• Comfortable developing intuitive ways to manipulate and display data