Quantitative Risk Modeler

ACT Group

Amsterdam

On-site

EUR 85,000 - 115,000

Full time

14 days+

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Job summary

ACT Group is seeking a Quantitative Risk Analyst in Amsterdam to strengthen our risk management framework and financial resilience. You will develop and optimize risk models using Python and SQL, analyze large datasets, and provide actionable insights to guide strategic decisions.

The role emphasizes collaboration with trading and cross-functional teams, continued model improvement, and adapting to evolving market conditions. Fluency in English and strong communication are essential.

Qualifications

  • Bachelor's or Master's degree in Mathematics, Computer Science, Physics, Engineering or Statistics or related field.
  • 3–5 years of relevant working experience with strong knowledge of Python and OOP.
  • Experience in trading houses is a plus.
  • Strong analytical, quantitative, and problem-solving skills.
  • Excellent communication and teamwork abilities with proficiency in English.
  • Proactive and adaptable to shifting priorities.

Responsibilities

  • Design and implement advanced Python risk models.
  • Optimize algorithms and statistical models for risk prediction.
  • Maintain and update codebases for performance and reliability.
  • Process and analyze large datasets using SQL.
  • Apply statistical techniques to interpret data and identify trends.
  • Perform stress testing and develop risk mitigation strategies.
  • Collaborate with cross-functional teams and the trading desk to gather data and understand strategies.

Skills

Python
SQL
Object-oriented programming
Statistics

Education

Bachelor's or Master's degree

Job description

ACT Group is seeking a Quantitative Risk Analyst in Amsterdam to strengthen our risk management framework and financial resilience. You will develop and optimize risk models using Python and SQL, analyze large datasets, and provide actionable insights to guide strategic decisions.

The role emphasizes collaboration with trading and cross-functional teams, continued model improvement, and adapting to evolving market conditions. Fluency in English and strong communication are essential.

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