Senior Quant Developer (C#.NET_Algo_LowLatency_NumPy_SciPy)

Maltem Group • Remote (Australia) • 4d ago

Maltem Australia is seeking a Senior Quant Developer for an Energy Client based in Melbourne Australia.

Role Summary :

As a Senior Developer (.NET) with a focus on IT Quantitative Analysis, you will play a key role in the Design, Development, and Implementation of our client's Proprietary Trading Systems and Quantitative Research tools.
You will collaborate closely with Quantitative Analysts, Traders, and other members of the Development Team to deliver high-performance, scalable solutions that drive our Client's Trading strategies.

Responsibilities include :

Design, Develop, and maintain .NET-based trading applications and quantitative research tools.
Implement complex algorithms and mathematical models for analyzing market data and generating trading signals.
Optimize software performance and scalability to handle large volumes of real-time market data.
Collaborate with quantitative analysts to translate research ideas into production-ready trading strategies.
Conduct thorough testing and debugging of software components to ensure reliability and stability.
Stay up-to-date with the latest developments in financial markets, quantitative analysis techniques, and software technologies.
Provide technical guidance and mentorship to junior members of the Development team.
Participate in Code reviews, Architectural discussions, and other team activities to maintain high standards of software craftsmanship.

Qualifications :

Bachelor's or Master's degree in Computer Science, Mathematics, Physics, Engineering, or a related field.
5+ years of experience in software development, with a focus on .NET technologies (C#, .NET Core, ASP.NET, etc.).
Strong understanding of Quantitative Analysis techniques, Statistical Methods, & Financial markets
Experience working on high-performance, Low-latency Trading systems or similar real-time applications.
Proficiency in Mathematical programming libraries such as NumPy, SciPy, or similar.
Familiarity with Algorithmic Trading concepts, including order execution, market microstructure, and risk management.
Solid understanding of data structures, algorithms, and software design principles.
Prior experience in the Utilities Trading and/or Financial Services industry is a plus.
Excellent problem-solving skills and attention to detail.
Strong communication and interpersonal skills, with the ability to collaborate effectively in a team environment.