Quantitative Researcher at Tanius Technology

Alamo, California, United States

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Not SpecifiedCompensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Biotechnology, Financial Services, Quantitative FinanceIndustries

Skills

Key technologies and capabilities for this role

PythonC++CMachine LearningStatistical AnalysisLinear AlgebraData AnalysisTrading SystemsTrading ModelsMarket Data Analysis

Questions & Answers

Common questions about this position

What is the salary for this Quantitative Researcher position?

This information is not specified in the job description.

Is this role remote, hybrid, or onsite?

This information is not specified in the job description.

What skills are required for the Quantitative Researcher role?

Required skills include proficiency in programming (preferably Python), some exposure to C/C++ or other compiled languages, working knowledge of statistics, working knowledge of linear algebra, and the ability to work independently as a self-starter.

What is the company culture like at Tanius Technology?

The culture consists of high standard, motivated individuals who are adaptable and solution-oriented.

What makes a strong candidate for this Quantitative Researcher position?

Strong candidates will have proficiency in Python, exposure to C/C++ or compiled languages, knowledge of statistics and linear algebra, and the ability to work independently as a self-starter.

Tanius Technology

Algorithmic trading using machine learning technology

About Tanius 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.

Alamo, TexasHeadquarters

2009Year Founded

VENTURE_UNKNOWNCompany Stage

AI & Machine Learning, Financial ServicesIndustries

11-50Employees

Quantitative Researcher at Tanius Technology

Skills

Questions & Answers

Tanius Technology

About Tanius Technology

Benefits

Health Insurance

Paid Vacation

Paid Holidays

Performance Bonus

Risks

Intensifying regulatory scrutiny on algorithmic trading practices by 2024.

Volatility in oil futures markets due to geopolitical tensions.

Increased competition from AI-driven trading firms eroding market share.

Differentiation

Leverages machine learning for large-scale algorithmic trading across diverse markets.

Focuses on institutional clients, offering tailored trading strategies and solutions.

Promotes a culture of innovation and adaptability with flexible work options.

Upsides

Increased adoption of alternative data sources offers unique market insights.

Quantum computing enhances speed and accuracy of algorithmic trading.

Explainable AI improves trust and decision-making in trading models.

Quantitative Analyst II