Graduate Quantitative Researcher: Fast-Track Trading

All Options; Austin (TX); On-site; USD 75,000 - 110,000; Full time

Benefits offered by this job

Salary and bonus opportunities

25 days PTO

Medical, dental, and vision benefits

401(k) employer sponsored

Job summary

All Options in Austin, TX is launching a Graduate Quantitative Researcher program designed to blend theory with real market making. You’ll complete a six-month training track, then move into active research with mentorship and ongoing coaching.

Start dates are February 2027 or August 2027, with exposure to pricing models and automated trading systems. The role requires enrollment in a quantitative degree and strong programming skills.

Qualifications

• Currently enrolled in a university program and graduating between December 2026 and June 2027.
• Strong interest in financial markets and options trading.
• Proven ability to apply theory to practical challenges.

Responsibilities

• Dive into options theory and learn our business operations and systems.
• Build and maintain business and trading intelligence tools.
• Progressively contribute to P&L-generating activities as knowledge grows.
• Develop automated analysis programs and trading algorithms.
• Bridge statistics, trading, and technology to provide data-driven insights.
• Monitor and optimize strategy performance.
• Design and build automated trading and position management algorithms.
• Improve pricing models and improve codebase and technology stack.

Skills

Python

C++

Statistics

Pattern recognition

Education

Bachelor's degree in a quantitative field

Tools

Trading systems

Job description

All Options in Austin, TX is launching a Graduate Quantitative Researcher program designed to blend theory with real market making. You’ll complete a six-month training track, then move into active research with mentorship and ongoing coaching.

Start dates are February 2027 or August 2027, with exposure to pricing models and automated trading systems. The role requires enrollment in a quantitative degree and strong programming skills.