Quantitative Researcher, Prediction Markets Trading

BlueWalker Capital

Barcelona

On-site

EUR 70,000 - 110,000

Full time

2 days ago
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Job summary

BlueWalker Capital, a proprietary trading firm focused on prediction-market strategies, is seeking a Quantitative Researcher to join a small trading team. You will work across data sets and models to ensure reliable data and signals that drive hundreds of thousands of euros in daily trade volume.

The role emphasizes building fair-value and spread models, developing market-making strategies, crafting realistic backtests, and collaborating with engineering to deploy strategies.

Qualifications

  • 2+ years of hands-on systematic trading experience.
  • Background in statistics, computer science, mathematics, physics, or a quantitative field.
  • Understanding of market microstructure, queue position, and fill-probability modeling.
  • Experience with predictive modeling, feature engineering, and model validation.
  • Experience designing quoting models under inventory and adverse-selection risk.
  • Ability to design production-grade systems while integrating AI tools to boost development velocity.

Responsibilities

  • Build fair-value, spread, and fill-probability models to continuously price and underwrite dynamic proprietary datasets.
  • Research and develop market-making strategies across prediction-market order books.
  • Build realistic backtests that model fees, latency, partial fills, cancellations, and queue position.
  • Work with the engineering team to deploy strategies and ensure signals are correctly used.

Skills

Systematic trading experience
Quantitative background
Market microstructure
Predictive modeling
Quoting model design
Production-grade systems with AI tools

Job description

BlueWalker Capital, a proprietary trading firm focused on prediction-market strategies, is seeking a Quantitative Researcher to join a small trading team. You will work across data sets and models to ensure reliable data and signals that drive hundreds of thousands of euros in daily trade volume.

The role emphasizes building fair-value and spread models, developing market-making strategies, crafting realistic backtests, and collaborating with engineering to deploy strategies.

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