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ABC Arbitrage SA, a quantitative trading company, is expanding its Singapore team. You will join a 20-developer Trading Platform group working on geographical arbitrage, collaborating with quants and traders on high-frequency, low-latency automated trading systems.
We develop most software in-house, from the platform to the supporting tools. A strong C#/.NET background and autonomous, driven mindset are essential, with an interest in finance and AI as a development aid.
Passionate about technology, we develop quantitative and systematic trading strategies across a wide range of asset classes and global financial markets. Technology, research, and data are the cornerstones of our business.
Our strength? A collaborative culture that encourages us to challenge one another, learn together, and deliver strong performance year after year.
Within the Trading Platform team, which is made up of around 20 developers, you will join the team working on geographical arbitrage.
This team works closely with quants and traders to design and develop new features for our high-frequency, low-latency automated trading strategies. It has members in both Singapore and Paris, and we’re looking to grow our Singapore team.
Most of our software is developed in-house, from the trading platform itself to the tools that support our trading activities.
As part of this team, you will :
We use, among others, the following technologies: C# 14, .NET 10, Rider, Git, WPF, WinForms, SQL Server, Cassandra, Redis, InfluxDB, Windows Server / Linux
A passionate software developer with strong C#/.NET expertise, you’re autonomous, driven, and motivated to do your best work. You’re curious, enjoy learning, and value good engineering practices. You have the ability to solve complex problems. You’re comfortable using AI as a development tool or eager to build that experience, while maintaining a clear understanding of the solutions you create.
You communicate clearly, both in writing and orally, and work well with others, including developers and trading teams. You have an interest in finance or are keen to learn more about the subject. Prior financial knowledge is not required.
3 to 5 years
Diploma or degree in computer science, computer engineering, or a related field.