Graduate Quantitative Trader

All Options; Noord-Holland; On-site; EUR 40,000 - 60,000; Full time

Benefits offered by this job

Bonus opportunities

Profit sharing

29 vacation days

Well-being allowance

In-house meals

Monthly drinks and festivities

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, trading systems, and build signals and automated strategies under mentorship.

The role emphasizes research, backtesting, and developing pricing models with a Python/C++ stack, contributing to P&L through systematic work. Starts March or September 2027.

Qualifications

• Master's degree in a quantitative field or related discipline.
• Strong interest in option trading and financial markets.
• Able to prioritize and deliver results in a fast-paced setting.
• Excellent English, written and spoken; based in Europe.

Responsibilities

• Research and design systematic trading strategies, not discretionary trading.
• Build and backtest signals, pricing tools, and automated algorithms.
• Monitor live strategy performance and improve it based on results.
• Contribute to pricing models and volatility analytics, using Python/C++.

Skills

Quantitative skills

Pattern recognition

Programming (Python)

English proficiency

Time management

Education

Master's degree in a quantitative field

Tools

Python

C++

Backtesting

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:

• 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