{"description": " About Akuna:

Akuna Capital is an innovative trading firm with a strong focus on collaboration, cutting-edge technology, data driven solutions and automation. We specialise 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. At Akuna we have a flat structure, where the best idea wins.

Our Founding Partners, including Andrew Killion, 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, Singapore and London.

What you'll do as a Quantitative Trader at Akuna:
We are seeking experienced Quantitative Options Traders to join our dynamic team at Akuna Capital. The ideal candidate will be a motivated individual with a desire to make an immediate impact. We are searching for creative thinkers, for competition winners, for those who enjoy a challenge. If you enjoy taking an idea, making it tangible, and receiving rapid feedback - we have the challenge for you.

In this role you will:

• Manage trading strategies and improve profitability by converting ideas into quantitative models
• Implement trading signals that influence our automated trading
• Develop a deep understanding of derivatives theory and financial markets
• Generate ideas on trading opportunities, product insights, risk management and trading systems

Qualities that make great candidates:

• 3+ years of professional work experience in Options Trading or related field
• BS/MS/PhD in a technical field - Engineering, Statistics, Computer Science, Mathematics, Physics, or similar
• Understanding of advanced Mathematics: Calculus, Probability, Linear Algebra, Statistics and Optimization
• Working knowledge of statistical analysis, numerical linear algebra, machine learning or convex optimization
• Intermediate programming skills in Python (C++ is a plus)

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