Senior Quantitative Developer

1 week ago


Australia Maltem Group Full time
Senior Quantitative Developer

Maltem Group is seeking a highly skilled Senior Quantitative Developer to join our team in Melbourne, Australia.

Role Summary:

  • As a Senior Developer 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.

Key Responsibilities:

  • 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.

Requirements:

  • 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, and 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.


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