Tanius Technology

Software Developer

Alamo, California, United States

Not SpecifiedCompensation
Entry Level & New Grad, Junior (1 to 2 years), Mid-level (3 to 4 years)Experience Level
Full TimeJob Type
UnknownVisa
N/AIndustries

Requirements

Candidates should possess a Bachelor’s degree in Computer Science or Computer Engineering, or equivalent experience, and demonstrate proficiency in C/C++, Python, and/or Java/C#. They must also be comfortable working within a Linux environment and have at least 5 years of professional programming experience.

Responsibilities

Software Developers will write production code across various levels of the software stack, including low-level code for network hardware, high-performance trading infrastructure, and internal tools, while also collaborating with users to deliver impactful improvements to their daily work and contributing to roadmap planning and feature implementation decisions.

Skills

C/C++
Python
Java
C#
Linux
Finance
Machine Learning
Big Data
Robotics

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

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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