Quantitative Researcher for ML-Driven Trading

Tanius; Alamo (CA); On-site; USD 80,000 - 120,000; Full time

Job summary

Tanius, located in Alamo, California, is seeking motivated individuals to develop and test new trading systems using machine learning techniques. The role involves analyzing market data and collaborating with traders and developers to enhance trading strategies.

A strong skillset in programming, especially Python, along with knowledge in statistics and linear algebra, is essential for this position. Candidates should be self-starters with a passion for trading.

Qualifications

• Strong programming skills, especially in Python, are essential.
• Working knowledge of statistics and linear algebra is required.
• Exposure to C/C++ or other compiled languages is a plus.

Responsibilities

• Develop and test new trading systems using machine learning.
• Analyze market data and trading strategies.
• Work closely with traders and developers.

Skills

Programming (Python)

Statistics

Linear Algebra

C/C++ or other compiled languages

Tools

Custom APIs

On Premise Clusters

Job description

Tanius, located in Alamo, California, is seeking motivated individuals to develop and test new trading systems using machine learning techniques. The role involves analyzing market data and collaborating with traders and developers to enhance trading strategies.

A strong skillset in programming, especially Python, along with knowledge in statistics and linear algebra, is essential for this position. Candidates should be self-starters with a passion for trading.