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Salary
$83k – $185k per year (Estimated)
Location
In office (Austin)
Seniority
Junior
Employment
Full-Time
Overview
Company
Impact
Profile match
All Options is a proprietary trading firm that makes markets in listed derivatives on European exchanges. It develops its own low-latency trading systems and quantitative models in house. The company is headquartered in Amsterdam.

Interested in a fast-paced career at the intersection of research and options trading? All Options is looking for Graduate Quantitative Researchers to join our team in Austin, TX! You’ll hit the ground running with a six-month training program that blends advanced option theory with real market making experience from day one.

Your first four weeks are spent alongside a cohort, mastering the fundamentals of options theory, trading systems, and tools through lectures and hands-on shadowing. After that, you’ll move into active research: contributing to projects aligned with your desk’s focus, under mentor guidance and with continuous coaching, technical training, and performance feedback throughout. For quant researchers looking to grow fast and make an immediate impact, there is no better place to start.

This role has two cohort start dates available: February 2027 and August 2027.

What You’ll Do:

  • Dive into options theory, learn our business operations, and become familiar with our systems
  • Build and maintain business and trading intelligence tools
  • Progressively contribute to P&L-generating activities as your knowledge grows
  • Play a pivotal role in developing automated analysis programs and trading algorithms
  • Your work will bridge statistics, trading, and technology, providing data-driven insights to trading teams and management
  • Monitoring and optimizing strategy performance
  • Designing and building automated trading and position management algorithms
  • Enhancing pricing models
  • Building, maintaining, and improving the company’s codebase and technology stack

Who You Are:

  • Currently enrolled in a university program, graduating between December 2026and June 2027pursuing a bachelor’s or higher in a quantitative field such as Computer Science, Mathematics, Statistics, Engineering, Physics, or related discipline
  • A strong interest in financial markets and (options) trading
  • Result-driven and able to prioritize
  • Strong at pattern recognition
  • Excel at applying theoretical knowledge to practical challenges
  • Proficiency in a programming language (e.g., Python, C+, C++, etc.)
  • A proactive, entrepreneurial mindset with a drive to innovate
  • Strong communication and teamwork skills
  • Excellent verbal and written English skills
  • Availability for full-time employment starting in February 2027 or August 2027

Why Join All Options?

At All Options we offer a dynamic collaborative environment where ambition is rewarded and growth is real. Enjoy a competitive salary, bonus opportunities, 25 days PTO, paid medical, dental, and vision benefits package, 401(k) employer sponsored contributions, and in-house meals and snacks. And because wins deserve celebrating, we bring the team together for monthly drinks and festivities. Join us and help shape what’s next!

Apply Now!

If this sounds like your next challenge, submit your resume and cover letter. Our team will carefully review your application and contact you if you meet the requirements.

Please apply to only one of our graduate roles. If you submit multiple applications, we will place you in a single recruitment process, as candidates are not permitted to participate in more than one process at the same time.

All applicants must be currently authorized to work in the United States.

This role is not eligible for visa sponsorship.

Equal Opportunity Employer

All Options is an Equal Opportunity Employer and does not discriminate on the basis of race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information or any other protected status under applicable law. All employment decisions are based on qualification, merit, and business need.

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