Software Engineer (C#)
NavaSalary not specified
Full Time
Mid-level (3 to 4 years), Senior (5 to 8 years)
Not SpecifiedCompensation
Entry Level & New Grad, Junior (1 to 2 years), Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
BiotechnologyIndustries
Requirements
Candidates should possess a Bachelor’s degree in Computer Science or Computer Engineering, or equivalent experience, along with at least 5 years of professional programming experience. They must be proficient in C/C++, Python, and/or Java/C#, and comfortable working within a Linux environment.
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 providing feedback to users and contributing to roadmap planning and feature implementation.
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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