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Tanius Technology

Proprietary machine-learning algorithmic trading across markets

Junior Trader

Quantitative Trading / Algorithm DevelopmentConfirmed live in the last 24 hours
Full-timeDanville, CA, USAIn-person

About the Job

Requirements

  • Bachelor’s degree in Finance, Economics, Mathematics, Computer Science, or a related field.

Responsibilities

  • Train on the Tanius platform of tools for trading and risk management.
  • Develop and run trades.
  • Utilize deep tick by tick research graphical user interfaces.
  • Access and utilize historical tick databases available for Python research.
  • Use clusters for large scale simulation and optimization.
  • This position will be tailored to employ your strengths.

Desired Qualifications

  • Training and mentorship will be provided to get you ready for the role.
  • Trading is a high pressure environment with risk management and regulatory compliance at the core of the work.
  • This is an on premise position in Alamo, California; remote options will not be considered.
  • Experience or interest in programming (Excel, Python etc).
  • Strong communication and interpersonal skills.
  • High level of attention to detail and accuracy.
  • Ability to work well in a team and under pressure.
  • Self-motivated with a strong desire to learn and succeed.
  • Bachelor’s degree in Finance, Economics, Mathematics, Computer Science, or a related field.

About the Company

Tanius Technology

Proprietary machine-learning algorithmic trading across markets

Tanius Technology uses machine learning to build and run proprietary trading strategies across markets like fixed income, oil futures, precious metals, and equity indexes for institutional clients. It trains models to scan markets, detect inefficiencies, and automatically execute trades through its own algorithms. The company differentiates itself through in-house development of trading algorithms, a collaborative culture, and flexible work options that attract diverse talent. Its goal is to generate profits from market inefficiencies by applying scalable, data-driven trading strategies to multiple asset classes.

Company size
11-50
Company stage
Not listed
Total funding
Not listed
Headquarters
Alamo, TX
Founded
2009

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