Graduate Quant Trader

Study Association VSAE; Amsterdam; Sur place; EUR 70 000 - 90 000; Plein temps

Avantages offerts par ce poste

Well-being allowance

In-house meals

Bicycle plan

NS Business Card

Work from abroad option

29 vacation days

Bonus opportunities

Profit sharing

Résumé du poste

AllOptions in Amsterdam invites a Graduate Quantitative Trader to join a six-month training program that blends advanced theory with hands-on market-making experience. You will learn options theory, trading systems, and the core operations of the business.

You’ll contribute to developing automated analysis programs, trading algorithms, and monitor strategy performance while building a strong codebase. This role offers a competitive salary, bonus opportunities, profit sharing, 29 vacation days,

Qualifications

• Master’s degree or higher in a quantitative field (STEM, Statistics, Econometrics, Quantitative Finance)
• Strong interest in option trading and financial markets demonstrated through courses or experience
• Able to prioritize and deliver results in a fast-paced environment
• Excellent English communication skills

Responsabilités

• Dive into options theory, learn our business operations, and become familiar with our systems
• Develop automated analysis programs and trading algorithms within a few months
• Monitor and optimize strategy performance
• Enhance pricing models
• Build, maintain, and improve codebase and technology stack
• Progressively contribute to P&L – generating activities as your knowledge grows

Connaissances

Python programming

Analytical thinking

Pattern recognition

Result oriented

Formation

Master's degree or higher in a quantitative field (STEM, Statistics, Econometrics, Quantitative Finance)

Outils

Python

Description du poste

Company AllOptions Type Fulltime job Location Amsterdam Sector Econometrics, Quantitative Finance, Trading Required language English Website https://www.alloptions-international.com/

As a Graduate Quantitative Trader, you will undergo an extensive six-month training program that combines advanced theory with hands‑on market‑making experience.

Your journey includes:

• First 4 Weeks: Mastering the fundamentals of options theory, trading systems, and tools through engaging lectures and hands‑on shadowing sessions led by our experienced traders.


• Next Phase: Applying your knowledge by contributing to a research or development project aligned with your assigned desk’s current focus, working under the close guidance of a mentor quant, and supported by ongoing coaching, technical training, and performance feedback.

In this role, you will:

• Dive into options theory, learn our business operations, and become familiar with our systems.


• Play a pivotal role in developing automated analysis programs and trading algorithms within a few months.


• Monitor and optimize strategy performance.


• Enhance pricing models.


• Build, maintain, and improve the company’s codebase and technology stack.


• Progressively contribute to P&L – generating activities as your knowledge grows.

Your Profile:

• A Master’s degree or higher in a quantitative field: STEM, Statistics, Econometrics, Quantitative Finance (or related fields)


• Strong interest in option trading and financial markets, demonstrated through courses attended and/or experience


• Result-driven and able to prioritize


• Strong at pattern recognition


• You excel at applying theoretical knowledge to practical challenges


• Coding is second nature to you, with Python experience considered a valuable asset.


• Ready to excel in a fast‑paced environment


• Excellent verbal and written English skills

Why Join All Options?

At All Options, we offer a dynamic role with room for growth, collaboration, and recognition. Enjoy a competitive salary, bonus opportunities, profit sharing, 29 vacation days, and perks like a well‑being allowance and in‑house meals. Celebrate success with monthly drinks and festivities, and take advantage of our bicycle plan, NS Business Card, and the option to work from abroad.

Available start dates:1 April or 1 September 2026