Full-Time
Senior PM / Trader / Quant
Tanius Technology
11-50 employees
Proprietary machine-learning algorithmic trading across markets
No salary listed
Remote in USA + 3 more
More locations: Chicago, IL, USA | Danville, CA, USA | New York, NY, USA
Hybrid
 Quantitative Finance (1) |
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- Working skillset in programming, preferably Python, with some exposure to C/C++ or other compiled languages
- Working knowledge of statistics and linear algebra
- Experience or track record of performance on large projects or trades
- Ability to analyze mountains of market data and apply machine learning techniques to trading models
- Experience researching and testing trading strategies with researchers, traders, and developers
- Familiarity with large on premise clusters and programmatic APIs to a custom tick database and fitting systems
- Self-starter with a passion for trading
- Develop and test new trading systems using machine learning techniques on market data
- Analyze market data and trading strategies in collaboration with traders and developers
- Develop new approaches to the market and contribute to existing trading models
- Scale research workflows using large on premise clusters and API interfaces to data and fitting systems
- Tailor the position to employ the strong points of the candidate
- Senior role requires a track record of performance on large projects or trades
- Preference for self-starters with a passion for trading
- Exposure to large data sets and high performance computing environments
- Experience with Python and C/C++ in a trading context
- Familiarity with tick databases and market data infrastructure
Tanius Technology uses machine learning to design and run large-scale proprietary trading strategies across fixed income, oil futures, precious metals, and equity indexes for institutional clients. It builds trading models that scan markets, detect inefficiencies, and automatically place orders across multiple asset classes, with software tested and refined by engineers in office or remote settings and continuously learning from market data. Its approach centers on in-house development of proprietary algorithms and a collaborative culture, plus flexible work options, rather than relying on standard tools. The goal is to generate profits from market inefficiencies by applying scalable, data-driven trading strategies to multiple markets for institutional clients.
Company Size
11-50
Company Stage
N/A
Total Funding
N/A
Headquarters
Alamo, Texas
Founded
2009
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See people who can refer or advise you
Simplify's Take
What believers are saying
- Greenhouse listed eight open roles on June 24, 2026, spanning traders, quants, engineers.
- Tanius updated its website on August 18, 2026, signaling ongoing platform investment.
- FIA membership expands market access and credibility with clearing and derivatives counterparties.
What critics are saying
- CBOT fined Tanius $150,000 on January 16, 2026 for pro-rata order abuse.
- CFTC fined Tanius $600,000 on September 26, 2022 for Treasury spoofing.
- A third enforcement action triggers exchange bans and ends its Treasury franchise.
What makes Tanius Technology unique
- Tanius trades fixed income, oil, metals, and equity indexes with machine-learning execution.
- Its in-house research system turns trader ideas into executable strategies quickly.
- FIA admitted Tanius as a member on June 12, 2026.
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Benefits
Health Insurance
Paid Vacation
Paid Holidays
Performance Bonus