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) |
|---|
- 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
Simplify's Take
What believers are saying
- Hybrid finance-technology skills optimize algorithmic trading via quantitative researchers.
- Flexible office-remote work attracts diverse talent for innovation.
- Culture fosters teamwork in developing adaptive trading solutions.
What critics are saying
- CME fines $150k in January 2026 for outsized Treasury futures orders drain capital.
- CFTC holds Tanius liable for Randy Chen's 1,000+ spoofing instances, $600k penalty.
- Repeat violations trigger CFTC permanent bans within 6-12 months, halting operations.
What makes Tanius Technology unique
- Tanius applies machine learning for large-scale algorithmic trading in fixed income and oil futures.
- Founded in 2008 by Karl Schulze and Gary Middlemiss with tech-finance expertise.
- Comprehensive system enables rapid trader idea implementation across equity indexes.
Help us improve and share your feedback! Did you find this helpful?
Benefits
Health Insurance
Paid Vacation
Paid Holidays
Performance Bonus