Graduate Quantitative Trader

Amsterdam Investment Club

Amsterdam

Hybrid

EUR 60,000 - 90,000

Full time

3 days ago
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Benefits offered by this job

Well-being allowance
In-house meals
Profit sharing
29 vacation days
Bicycle plan
NS Business Card
Work from abroad

Job summary

All Options is seeking a Graduate Quantitative Trader to join a six-month training program blending advanced theory with hands-on market-making experience in Europe. You will learn options theory, build and backtest signals, and contribute to pricing models while working closely with a mentor quant.

This role emphasizes research and development, with programming at the core of daily tasks. Ideal candidates hold a Master’s in a quantitative field, have a strong interest in options and markets,

Qualifications

  • Master’s degree in a quantitative field required.
  • Strong interest in option trading and financial markets.
  • Results-driven with ability to prioritise.
  • Strong pattern recognition.
  • Able to apply theory to practical challenges.
  • Coding is central, with Python experience valuable.
  • Excellent written and spoken English; Europe-based.

Responsibilities

  • Learn options theory and our business operations and research systematic strategies.
  • Build and backtest signals, pricing tools, and automated trading algorithms.
  • Spend majority of time on research and development, testing hypotheses, and finding statistical edge.
  • Monitor live strategy performance and diagnose deviations to improve it.
  • Enhance and extend pricing models and volatility analytics.
  • Own and improve core parts of the codebase and stack; programming is daily work.
  • Contribute to P&L through the developed strategies and tools.

Skills

Python programming
Statistical analysis
English proficiency
Attention to detail

Education

Master’s degree in quantitative field

Tools

Python
C++

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.

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:
  • Learn options theory and our business operations, then apply them by researching and designing systematic strategies rather than trading by hand.
  • Build and backtest signals, pricing tools, and automated trading algorithms, and take them from idea to production within your first months.
  • Spend most of your time on research and development: analysing data, testing hypotheses, and finding statistical edge.
  • Monitor live strategy performance, diagnose why it deviates from expectations, and improve it.
  • Enhance and extend our pricing models and volatility analytics.
  • Own and improve core parts of the codebase and tech stack (Python/C++ etc., adjust to your stack). Programming is a daily, central part of the job, not a side task.
  • Contribute to P&L through the strategies and tools you build; your impact is measured by the quality and performance of your systematic work rather than by discretionary trading calls.
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.
  • Currently based in Europe.
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: March and September 2027
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