Are you looking to work within an European institution ?
Don’t look any further!
For one of the EU Institution, we are currently looking for :
Quantitative Modeler (M/F/D)
Context :
You will report to and work under the supervision of senior members of the Risk Models & Analytics Unit within the Capital Management & Financial Risk Division.
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Purpose :
Development and implementation of quantitative risk models to measure, monitor and manage financial risk and capital.
Responsibilities :
- Conduct deep-dive analyses into existing business operations and risk management frameworks.
- Define the technical specifications for quantitative models and then design the underlying mathematical framework, ensuring it aligns with established academic theory and industry best practices.
- Implement these formulations in a prototype using a programming language to demonstrate their viability and performance
- Provide guidance to the IT staff for implementation of the model in robust production IT systems
- Carry out all essential tasks across the model’s lifecycle in line with model risk management policies and procedures (like monitoring the model predictive performance, preparing and maintaining the relevant documentation, etc.)
- where needed, provide guidance to the users when they operate the models in their daily operations.
Your profile :
- You have strong quantitative modeling skills (incl. programming), combined with a strong knowledge and experience in financial risk management.
- You are comfortable to communicate effectively with a wide range of stakeholders.
Qualifications :
- University degree in a quantitative field, preferably at postgraduate level, in Actuarial Science, Mathematics, Statistics, Physics, Econometrics, Engineering, or related subjects
- At least five (5) years of post-graduation (after having obtained your initial university diploma) relevant professional experience - or postgraduate academic experience – in developing mathematical models / methodologies in financial institutions
- Advanced programming skills (ideally in Python).Excellent knowledge of English, both oral and written, with good drafting skills
Randstad attaches great importance to equal opportunities. We recruit candidates on the basis of their skills, regardless of their age, sexual orientation, nationality, religious beliefs, gender, disability, etc.
Ready to take up this new challenge? Do not hesitate to apply for this vacancy. We look forward to meeting you!
