Quantitative Researcher
Location: Sydney, NSW
Department: Quant
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 Researcher 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 a sophisticated understanding of derivatives and financial markets. We are looking for talented researchers who can apply and develop machine learning algorithms to contribute to Akuna’s strategy portfolio. In this role, you will:
- Develop trading strategies using statistical and machine learning algorithms
- Help identify, design, backtest and optimize low latency strategies using big data
- Build metrics to evaluate strategy execution and perform post trade analysis
- Design and implement optimization algorithms for portfolio construction
- Develop quantitative models describing market behavior
- Advance existing initiatives and explore opportunities for new research topics
Requirements:
- Strong professional work experience in statistics, machine learning, option trading or related area
- Graduated before August 2025 with a BS/MS/PhD degree in a technical field – Engineering, Computer Science, Maths, Physics, or similar
- Proven research background in academic or professional environment
- Experience building mathematical models for complex real-world problems
- Expertise in statistics
- Programming skills in Python
Qualities that make great candidates:
- Collaboration, teamwork, and excellent communication skills
- Strong drive to deliver meaningful results
- Financial experience or knowledge of trading is a plus
There are more than 50,000 engineering jobs:
Subscribe to membership and unlock all jobs
Engineering Jobs
60,000+ jobs from 4,500+ well-funded companies
Updated Daily
New jobs are added every day as companies post them
Refined Search
Use filters like skill, location, etc to narrow results
Become a member
🥳🥳🥳 452 happy customers and counting...
Overall, over 80% of customers chose to renew their subscriptions after the initial sign-up.
To try it out
For active job seekers
For those who are passive looking
Cancel anytime
Frequently Asked Questions
- We prioritize job seekers as our customers, unlike bigger job sites, by charging a small fee to provide them with curated access to the best companies and up-to-date jobs. This focus allows us to deliver a more personalized and effective job search experience.
- We've got over 200,000 jobs from 15,000+ vetted companies. No fake or sleazy jobs here!
- We aggregate jobs from 15,000+ companies' career pages, so you can be sure that you're getting the most up-to-date and relevant jobs.
- We're the only job board *for* software engineers, *by* software engineers… in case you needed a reminder! We add thousands of new jobs daily and offer powerful search filters just for you. 🛠️
- Every single hour! We add 2,000-3,000 new jobs daily, so you'll always have fresh opportunities. 🚀
- Typically, job searches take 3-6 months. EchoJobs helps you spend more time applying and less time hunting. 🎯
- Check daily! We're always updating with new jobs. Set up job alerts for even quicker access. 📅
What Fellow Engineers Say