Quantitative Risk Analyst

ACT Group; Amsterdam; On-site; EUR 70,000 - 90,000; Full time

Job summary

ACT Group is seeking a Quantitative Risk Analyst to strengthen our risk management capabilities and support financial resilience. You will develop and optimize risk models in Python, analyze large datasets with SQL, and provide data-driven insights to guide strategic decisions across the business.

You will collaborate with stakeholders and the trading desk, apply statistical techniques to identify trends, perform stress testing, and maintain robust, scalable codebases to ensure reliable risk

Qualifications

• 3–5 years of relevant experience with Python and OO programming.
• Bachelor’s or Master’s degree in a quantitative field.
• Experience in trading houses is a plus.
• Strong analytical and communication skills.

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

Object-oriented programming

SQL

Risk modeling

Data analysis

Stress testing

Problem solving

Communication

Teamwork

English proficiency

Education

Bachelor/Master in Math/CS/Stats

Job description

Your Role in Our Story:

As a Quantitative Risk Analyst at ACT Group, you will be instrumental in enhancing our risk management strategies and ensuring our organization’s financial resilience. You will join a dynamic team committed to developing and optimizing risk assessment models that support the company’s decision-making processes. By leveraging your expertise in Python and SQL, you will analyse complex datasets to identify, assess, and mitigate potential risks. Working closely with stakeholders across the organization, you will provide insights and recommendations that guide strategic initiatives. This role offers a unique opportunity to engage with cutting-edge technologies and contribute to the development of innovative solutions in risk management.In essence, your role involves:

• 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.

Your Expertise:

To be successful in this role, we are looking for candidates with the following qualifications and attributes:

• 3 - 5 years of relevant working experience with strong knowledge of Python and object-oriented programming.


• Bachelor’s or Master’s degree in Mathematics, Computer Science, Physics, Engineering, Statistics, or a related field.


• Experience in trading houses is a plus.


• Strong analytical, quantitative, and problem-solving skills.


• Excellent communication and teamwork abilities with excellentproficiency in English.


• Proactive and adaptable to shifting priorities.