Tanius Technology

Senior PM / Trader / Quant

Chicago, Illinois, United States

Tanius Technology Logo
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Financial Services, Quantitative Finance, FintechIndustries

Requirements

Candidates should possess a working skillset in programming, preferably Python, with some exposure to C/C++ or other compiled languages, and a working knowledge of statistics and linear algebra. A track record of performance on large projects or trades is expected for this senior role.

Responsibilities

The Senior PM / Trader / Quant will analyze market data and trading strategies alongside traders and developers, and develop new approaches to the market. They will utilize machine learning techniques to analyze market data and apply them to new and existing trading models, and work closely with the team to develop and test new trading systems.

Skills

Python
C/C++
Statistics
Linear Algebra
Market Data Analysis
Machine Learning
Trading Strategies
Research Tools

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.

Key Metrics

Alamo, TexasHeadquarters
2009Year Founded
VENTURE_UNKNOWNCompany Stage
AI & Machine Learning, Financial ServicesIndustries
11-50Employees

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.

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