Graduate Quantitative Trader

Econometrie

Amsterdam

On-site

EUR 55,000 - 75,000

Full time

14 days+

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Benefits offered by this job

29 vacation days
Well-being allowance
In-house meals
Bicycle plan
NS Business Card
Profit sharing
Bonus opportunities

Job summary

A financial trading firm in Amsterdam is seeking a Graduate Quantitative Trader to undergo a comprehensive six-month training program. The successful candidate will delve into options theory, develop algorithms, and contribute to trading strategies. Ideal applicants have a Master’s in a quantitative field and a passion for financial markets. Competitive salary and benefits included.

Qualifications

  • Master's degree or higher in STEM, Statistics, Econometrics, Quantitative Finance.
  • Strong interest in financial markets and option trading.
  • Able to prioritize and result-driven.

Responsibilities

  • Dive into options theory and learn company operations.
  • Develop automated analysis programs and trading algorithms.
  • Monitor and optimize strategy performance.
  • Enhance pricing models.
  • Maintain and improve codebase and technology stack.
  • Contribute to P&L-generating activities.

Skills

Interest in options trading
Pattern recognition
Ability to apply theoretical knowledge
Proficient in Python
Strong verbal and written English skills

Education

Master’s degree in a quantitative field

Job description

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.

Apply Now!

If this sounds like your next challenge, submit your CV and cover letter. Our interview process ensures we find the right fit—and if it’s a match, we can’t wait to welcome you to the team!

Available start dates: 1 April or 1 September 2026

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