Akuna Capital

Quantitative Research Internship (BB-10212)

Found in: Neuvoo Bulk AU

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 our CEO Andrew Killion, first conceptualised Akuna in their hometown of Sydney. They opened our first office in 2011 in Chicago, the heart of the derivatives & options industry. Akuna then expanded to Sydney in 2018 to be the centre of our Asian trading operations. We are currently trading HK, Korea, cryptocurrencies and US night markets and are excited for expansions into all the major Asian exchanges. We also have offices in Shanghai and Boston.

At Akuna, we believe that the people are the centre of everything we do. Our Sydney office has a start-up feel with around 100 people, which means you really get to know the team! We run social poker competitions, office happy hours, have a fully stacked breakfast and snack room, host social events, go on company trips, have social clubs, and offer great training with our Akuna University. We are expanding rapidly and looking for the best talent to join us on this journey. If you enjoy being part of smart, driven teams with real challenges to solve- this could be the place for you!

What you’ll do as a Quantitative Research Intern at Akuna:

Our Quantitative Team are a mixture of mathematicians, statisticians and technologists that find solutions to problems. We create trading models and strategies scientifically by combining our quantitative expertise with an understanding of derivatives and financial markets. We are seeking interns to join the team to apply their quantitative skills to exciting problem. You don't need a background in finance or trading, instead we look for maths and coding skills.

Our Quantitative Researchers work closely with our developers and traders to analyse and predict all facets of derivative pricing and develop trading strategies using statistical and machine learning algorithms. They create, conduct, and analyse experiments to develop a deep understanding of derivatives and financial markets, test solutions using historical parameters and market data, and perform extensive data analysis to directly improve our trading strategies, design and implement optimisation algorithms for portfolio construction, and advances existing initiatives to explore opportunities for new research topics.

This internship will include a mixture of Akunacademy training sessions, project work, and mentoring opportunities. If this sounds interesting to you, apply now! We are looking for people who have innovative ideas, think analytically, and have an entrepreneurial mindset and want to make an immediate impact in our growing company and contribute to Akuna’s strategy portfolio.

Internship dates: 8-10 weeks from December 2021- February 2022

This is a paid internship with an annual salary of $100K AUD pro rata for the summer. We, further, provide travel and housing for anyone not living in Sydney.

Requirements for this role:

  • Australian or NZ citizen or Australian Permanent residences only
  • University Degree, graduating between August 2022 and January 2023
  • An understanding of statistics and machine learning
  • Basic programming skills in Python or C++
  • Strong maths skills: able to apply concepts of probability, calculus and linear algebra
  • Strong verbal and written communication skills
  • Ability to run a project in a fast paced, team environment
  • Financial experience or studies are NOT a requirement
  • Qualities that make great candidates:

  • Bachelor, Honours, Masters or PhDs in Statistics, Mathematics, Physics, Computer Science, Engineering, or related degrees
  • Distinction Average & proven strong academics
  • Awards, prizes, medals, competitions, & scholarships
  • Experience in research within an academic or professional environment
  • Achievements outside of studies through your hobbies & interests
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