Job description
Founding Trading Engineer - Quant Trading
$150,000 - $400,000 + Strong Equity + Flexible PTO
Manhattan, NYC - Onsite
Are you excited by intellectually challenging problems and motivated to apply advanced engineering to real-world impact? Do you enjoy working in fast-paced, high-ownership environments where your work directly contributes to capital strategies and scientific progress?
This is a rare opportunity to join a well-backed startup on the cusp of its Series A, already highly profitable and pioneering a new class of trading models at the intersection of LLMs and algorithmic automation.
As a Founding Trading Engineer, you'll take ownership of assessing and monitoring trading risk, while also driving forward research and implementation of LLM-driven trading systems. You'll play a critical role in shaping the firm's risk framework and helping define the technical direction for next-generation quant automation.
You'll be working with 2 talented founders with previous founding experience as well as researchers/developers within an intense, focused, and deeply ambitious culture; expect to work hard, in pursuit of breakthroughs that matter. You'll collaborate directly with decision-makers on high-level trading and research strategy, with end-to-end ownership and huge impact potential.
If you're eager to engineer trading systems that push the boundaries of both financial outcomes and technical innovation-and you're ready to fully commit to building something new from the ground up-this is the role for you.
The Role
- Take ownership of trading risk assessment and monitoring
- Develop and refine risk frameworks for LLM-driven trading strategies
- Collaborate directly with founders on product, research, and capital strategy
- Engineer and deploy systems for algorithmic trading and risk management
- Help shape the technical and strategic direction of a high-performance team
The Person
- Experience as an engineer at a top-tier algorithmic trading firm
- Exceptional quantitative background (Mathematics, Physics, Computer Science, or related fields)
- Strong proficiency in Python or Rust
- Comfortable bridging research and engineering in fast-paced environments
- Looking to commit fully to a working in a start-up environment
