Quantitative Options Trader

Elity Global; Amsterdam; Presencial; EUR 120.000 - 170.000; Jornada completa

Descripción de la vacante

Elity Global in Amsterdam is seeking a Quantitative Options Trader to design and run automated options strategies that react to global market dynamics in real time.

You will work with quants, developers and risk managers to turn complex data into performance, building tools and dashboards and refining models for ongoing profitability.

Formación

• Bachelor’s or Master’s degree in Mathematics, Physics, Computer Science, Engineering or Economics from a leading institution.
• Strong quantitative intuition and experience operating or designing systematic or data-driven strategies.
• Fluency in Python and key scientific libraries (pandas/polars, scikit-learn, plotly/matplotlib). Familiarity with Kdb+/Q, SQL, Git and Linux environments is highly valued.
• Ability to process, visualise and act on real-time data streams.
• Decisive under pressure, detail-oriented and deeply analytical.
• Excellent communication skills and capable of bridging technical and market perspectives.

Responsabilidades

• Drive Performance: Analyse and refine existing trading frameworks to enhance profitability and stability.
• Adapt Fast: Respond to shifts in volatility, liquidity, and flow by adjusting pricing, risk appetite and model sensitivity in real time.
• Engineer Insight: Build metrics, dashboards, and diagnostics to understand system behavior and uncover new trading opportunities.
• Collaborate Across Disciplines: Partner with low-latency engineers, quantitative researchers and infrastructure specialists to evolve platform design.
• Shape Risk Controls: Define protection parameters and maintain oversight of live exposures across global options markets.

Conocimientos

Python

Quantitative analysis

Data-driven strategies

Educación

Bachelor’s or Master’s degree in Mathematics, Physics, Computer Science, Engineering or Economics

Herramientas

Kdb+/Q

SQL

Git

Linux

Pandas/Polars

scikit-learn

Plotly/Matplotlib

Descripción del empleo

This is an opportunity to operate at the frontier of markets - where data, technology and insight converge to drive intelligent trading decisions. As a Quantitative Options Trader, you’ll play a pivotal role in shaping and running sophisticated, automated options strategies that respond to global market dynamics in real time.

This position blends analytical depth with decisive execution. You’ll be equally comfortable diving into research, fine-tuning live strategies and engineering new tools to gain a sharper edge. Working alongside experienced quants, developers, and risk managers, you’ll transform complex information into performance that matters.

The Role:

You’ll take ownership of strategies that trade programmatically across multiple venues, ensuring they’re efficient and resilient. From enhancing model parameters to analysing packet-level data and evolving performance indicators, your decisions will directly affect trading outcomes every day.

What You’ll Do:

• Drive Performance: Analyse and refine existing trading frameworks to enhance profitability and stability.
• Adapt Fast: Respond to shifts in volatility, liquidity, and flow by adjusting pricing, risk appetite and model sensitivity in real time.
• Engineer Insight: Build metrics, dashboards, and diagnostics to understand system behavior and uncover new trading opportunities.
• Collaborate Across Disciplines: Partner with low-latency engineers, quantitative researchers and infrastructure specialists to evolve platform design.
• Shape Risk Controls: Define protection parameters and maintain oversight of live exposures across global options markets.

Your Profile:

• You have a Bachelor’s or Master’s degree in Mathematics, Physics, Computer Science, Engineering or Economics from a leading institution.
• Strong quantitative intuition and experience operating or designing systematic or data-driven strategies.
• Fluency in Python and key scientific libraries (pandas/polars, scikit-learn, plotly/matplotlib). Familiarity with Kdb+/Q, SQL, Git and Linux environments is highly valued.
• Ability to process, visualise and act on real-time data streams.
• Decisive under pressure, detail-oriented and deeply analytical.
• Excellent communication skills and capable of bridging technical and market perspectives.

This is not a traditional trading desk role - it’s an environment where rigorous analysis and sound judgment define success.