Quantitative Researcher

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, Research and DevelopmentIndustries

Requirements

Candidates should possess a Bachelor's degree in a quantitative field such as Mathematics, Statistics, Physics, Computer Science, or a related discipline, and have a strong working skillset in programming, preferably Python, with some exposure to C/C++ or other compiled languages. A working knowledge of statistics and linear algebra is also required.

Responsibilities

The Quantitative Researcher will utilize machine learning techniques to analyze extensive market data and apply these insights to develop and test new trading systems in close collaboration with traders and developers. They will analyze market data and trading strategies, and develop innovative approaches to the market, leveraging Tanius's suite of research tools to scale research efforts quickly.

Skills

Python

C++

Statistics

Linear Algebra

Machine Learning

Data Analysis

Trading Systems

Research

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

Requirements

Responsibilities

Skills

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.

Senior Market Research Professional