Senior Quant Developer (C#.NET_Algo_LowLatency_NumPy_SciPy)

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.