High-Frequency Trading Signal Developer
1 week ago
Role: We are seeking a highly skilled Quantitative Researcher to join our team at Eka Finance.
As a Quantitative Researcher, you will be responsible for developing systematic strategies and coming up with new ideas for high to mid-frequency trading signals.
You will ideally have a strong background in mathematics, statistics, physics, or computer science, and a Master's or PhD degree is highly desirable.
We are looking for a candidate with exceptional analytical capabilities, a real passion for developing trading strategies, and a strong programming skills in Python or Rust.
The ideal candidate will have a track record of having a scientific approach to analysing real-world problems and large amounts of empirical data, and be comfortable working with Linux/Unix, AWS, Git, and Docker.
Responsibilities:
- Develop systematic strategies for high to mid-frequency trading signals
- Design and implement trading algorithms using Python or Rust
- Analyse large datasets to identify trends and opportunities
- Collaborate with cross-functional teams to develop and implement trading strategies
Requirements:
- Master's or PhD degree in mathematics, statistics, physics, or computer science
- Strong research skills and experience using sophisticated mathematical tools
- Strong programming skills in Python or Rust
- Track record of having a scientific approach to analysing real-world problems and large amounts of empirical data
- Comfortable working with Linux/Unix, AWS, Git, and Docker
How to Apply:
Please send a PDF CV to quants@ekafinance.com
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