2022/23 Quantitative Development Summer Internship

What you'll do as a Quant Development Intern:

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 Juniors to join the team to apply their quantitative skills to exciting problems. You don't need a background in finance or trading, instead, we look for maths and coding skills.

Our Quantitative Developers are part of the Quant Trading & Research team at Akuna. Our Quant Devs have strong programming skills, familiarity with mathematical techniques and the fluency to leverage both skills to produce trading solutions and high-performance production code. Our Quant Developers:

• Design and develop production code of trading strategies: pricing models, execution logic and performance optimization along with researchers, traders and system engineers
• Analyse and incorporate market signals in our trading systems
• Advance existing codebase and propose new solutions and improvements

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, have an entrepreneurial mindset and want to make an immediate impact on our growing company and contribute to Akuna's strategy portfolio.

Internship dates: 8-10 weeks from December 2021- to 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 citizens or Australian Permanent residents only
• University Degree graduating between August 2022 and January 2023
• Strong programming skills in Python or C++
• Experience in object-oriented programming
• Experience with generic and/or parallel programming
• A basic understanding of probability, statistics, calculus and linear algebra
• A deeper understanding of any of the following fields: Linear Algebra, Numerical Methods, Statistics, Optimization, Signal Processing, Computer Architecture, Machine Learning
• Strong verbal and written communication skills
• Ability to run a project in a fast-paced, team environment

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