Senior Quantitative Data Engineer
YipitDataSalary not specified
Full Time
Senior (5 to 8 years)
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Financial Services, Quantitative Finance, FintechIndustries
Skills
Key technologies and capabilities for this role
Questions & Answers
Common questions about this position
What is the salary for this Senior PM / Trader / Quant position?
This information is not specified in the job description.
Is this role remote or does it require office work?
This information is not specified in the job description.
What skills are required for this position?
Proficiency in programming, preferably Python, some exposure to C/C++ or other compiled languages, working knowledge of statistics and linear algebra, and a demonstrated track record on large projects or trades are required.
What is the company culture like at Tanius Technology?
Tanius values self-starters with a passion for trading and maintains high standards while providing tools like on-premise clusters and programmatic APIs for fast, iterative research.
What makes a strong candidate for this role?
Strong candidates are motivated self-starters with a passion for trading, proficiency in Python, exposure to compiled languages, statistical knowledge, and a proven track record on large projects or trades.
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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