Quantitative Risk Modeler | Python & SQL Specialist

Tradermath; Amsterdam; Presencial; EUR 90 000 - 120 000; Tempo integral

Resumo da oferta

ACT Group in Amsterdam is seeking a Quantitative Risk Analyst to strengthen our risk management framework, develop and optimize models, and support strategic decision-making.

You will use Python and SQL to analyze large datasets, design stress tests, and collaborate with the trading desk and cross-functional teams to translate data into actionable insights.

The ideal candidate has 3–5 years in quantitative roles, a strong math/CS background, and fluency in English.

Qualificações

• 3–5 years of relevant experience with strong knowledge of Python and object-oriented programming.
• Bachelor’s or Master’s degree in Mathematics, Computer Science, Physics, Engineering, Statistics, or related field.
• Trading house experience is a plus.
• Strong analytical, quantitative, and problem-solving skills.
• Excellent communication and teamwork with proficiency in English.
• Proactive and adaptable to shifting priorities.

Responsabilidades

• 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.

Conhecimentos

Python

SQL

Risk modeling

OO programming

Analytical thinking

Formação académica

Bachelor's or Master's in Mathematics/CS/Physics/Engineering/Statistics

Descrição da oferta de emprego

ACT Group in Amsterdam is seeking a Quantitative Risk Analyst to strengthen our risk management framework, develop and optimize models, and support strategic decision-making.

You will use Python and SQL to analyze large datasets, design stress tests, and collaborate with the trading desk and cross-functional teams to translate data into actionable insights.

The ideal candidate has 3–5 years in quantitative roles, a strong math/CS background, and fluency in English.