Software Engineer (Java, Python, Systematic Trading Platform)
We are seeking a motivated and ambitious Software Engineer (Java, Python, Systematic Trading Platform) to join our core systems engineering team – a role which is paramount to helping us building out a brand-new quantitative trading platform, aimed at being of the most advanced in the marketplace. We are a very boutique research arm of one of the world’s leading financial organisations utilizing advanced Machine Learning models – and as a Software Engineer we can offer you being part of a unique culture where high quality of delivery intersects with collaboration, creativity, and openness.
As a Software Engineer, you will be working within a wider team of bright and driven individuals in a flexible and positive working environment. Surrounding the Core Software Engineering team are some great minds within Quantitative Research, NLP and Machine Learning – all working towards a common goal; putting cutting edge technology at the heart of driving innovation within the organisation. As a Software Engineer you will also help us design, build and implement advanced models and assist building brand new tools for the financial markets.
It’s important to note, no prior experience within finance is needed. If you are a quick learner and can create high quality robust code, we can teach you the rest on the finance side.
What we can offer a Software Engineer
- A chance to have an impact on a platform which will be utilized at scale worldwide.
- A culture which is very unique – an innovative startup within a secure larger organisation.
- Very little red tape, office politics or bureaucracy preventing you to do your work
- Great work / life balance.
- Strong salaries and bonuses
Key Skills: Software Engineer, Python, Java, Data Structures, Algorithms, MongoDB, NoSQL, Quantitative Strategy, Quantitative Modelling, Java, SQL, C++, Financial Markets, Financial Models.
- Salary Offer 0 ~ $3000
- Experience Level Junior
- Total Years Experience 0-5
- Dropdown field Option 1