Quantitative Analyst II
AffirmFull Time
Mid-level (3 to 4 years)
Key technologies and capabilities for this role
Common questions about this position
This information is not specified in the job description.
This information is not specified in the job description.
Required skills include proficiency in programming (preferably Python), some exposure to C/C++ or other compiled languages, working knowledge of statistics and linear algebra, ability to work independently, and passion for trading and financial markets.
Tanius maintains a high standard with employees ready to work hard, adapt to new challenges, and find solutions, while providing a supportive environment for research and development.
Strong candidates are self-starters with proficiency in Python, exposure to compiled languages like C/C++, knowledge of statistics and linear algebra, and a genuine passion for trading and financial markets.
Algorithmic trading using machine learning technology
Tanius Technology engages in proprietary trading by using machine learning to perform algorithmic trading across various financial markets, including fixed income, oil futures, precious metals, and equity indexes. The company's algorithms analyze market data to identify and exploit inefficiencies, allowing them to execute large-scale trades that generate profits. Unlike many competitors, Tanius Technology focuses on developing advanced trading strategies and technologies specifically tailored for institutional clients, ensuring a high level of expertise and service. The goal of Tanius Technology is to continuously innovate and adapt in the fast-paced financial markets, fostering a collaborative environment where employees can create and refine trading solutions.