Finde einen Job 
Finde eine Ausbildung 
Top Arbeitgeber 
Top Universitäten 
Für Unternehmen Auf einen Blick
- Aufgaben: Join our Risk Models team to develop and implement risk and valuation models.
- Arbeitgeber: Swisslinx connects talent with opportunities in the finance and IT sectors.
- Mitarbeitervorteile: Gain hands-on experience in a dynamic environment with potential for growth.
- Warum dieser Job: Make an impact in risk management while collaborating with tech-savvy teams.
- Gewünschte Qualifikationen: Strong background in financial risk, Python programming, and IT systems design required.
- Andere Informationen: Ideal for those passionate about quantitative analysis and banking operations.
Das voraussichtliche Gehalt liegt zwischen 54000 - 84000 € pro Jahr.
Job Title: Quantitative Risk Analyst
Location: Basel
Workload: 100%
Start Date: ASAP (Latest: 01.06.2026)
End Date: 31.03.2026 (Extension: TBC)
About the Role:
Are you a numbers guru with a passion for risk analysis? We are looking for a Quantitative Risk Analyst to join our Risk Management unit ! As part of the Risk Models team , you’ll play a key role in developing and implementing risk and valuation models that support banking operations.
Join the client in enhancing risk measurement methodologies to align with industry best practices and regulatory requirements.
Job Requirements:
- Contribute to the review, extension, and enhancement of risk models.
- Implement or prototype risk measurement approaches in IT systems.
- Document risk and valuation models.
- Define business and technical specifications for implementation by the Risk IT team.
- Collaborate with the Risk IT team to review and enhance IT systems used to measure risk.
Job Competences:
- Expertise in financial risk measurement and management , including quantitative risk and valuation models.
- Strong mathematical finance skills, particularly in fixed-income instruments and derivatives.
- Experience in designing, specifying, and implementing IT systems , including object-oriented programming, relational database modeling, and Python programming.
- Ability to write clear business and technical specifications and translate quantitative models into IT solutions.
Job Additional Preferences:
- Experience in bank stress testing tools and models .
- Knowledge of numerical methods for calibrating risk and valuation models .
- Understanding of market and counterparty credit risk models .
If you’re a quantitative risk expert with a strong mathematical finance background and Python experience , we’d love to hear from you!
#J-18808-Ljbffr
Quantitative Risk Analyst Arbeitgeber: Swisslinx
Kontaktperson:
Swisslinx HR Team
StudySmarter Bewerbungstipps 🤫
So bekommst du den Job: Quantitative Risk Analyst
✨Tip Number 1
Make sure to showcase your expertise in financial risk measurement and management during your conversations. Highlight specific quantitative risk models you've worked on, especially those related to fixed-income instruments and derivatives.
✨Tip Number 2
Familiarize yourself with the latest industry best practices and regulatory requirements in risk measurement. This knowledge will not only help you in discussions but also demonstrate your commitment to staying updated in the field.
✨Tip Number 3
Prepare to discuss your experience with IT systems, particularly in object-oriented programming and relational database modeling. Be ready to provide examples of how you've implemented or prototyped risk measurement approaches in past roles.
✨Tip Number 4
Engage with the job poster directly through a message. Express your enthusiasm for the role and briefly mention how your skills align with their needs, particularly in Python programming and writing clear specifications.
Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: Quantitative Risk Analyst
Tipps für deine Bewerbung 🫡
Understand the Role: Make sure to thoroughly read the job description for the Quantitative Risk Analyst position. Understand the key responsibilities and required competencies, especially in financial risk measurement and Python programming.
Tailor Your CV: Customize your CV to highlight relevant experience in quantitative risk analysis, mathematical finance, and any specific projects involving risk models or IT systems. Use keywords from the job description to make your application stand out.
Craft a Strong Cover Letter: Write a cover letter that showcases your passion for risk analysis and your expertise in the required areas. Mention specific experiences where you contributed to risk model development or IT system implementation.
Highlight Technical Skills: In your application, emphasize your technical skills, particularly in Python programming and relational database modeling. Provide examples of how you've used these skills in previous roles to enhance risk measurement methodologies.
Wie du dich auf ein Vorstellungsgespräch bei Swisslinx vorbereitest
✨Showcase Your Quantitative Skills
Be prepared to discuss your experience with quantitative risk and valuation models. Highlight specific projects where you applied your mathematical finance skills, especially in fixed-income instruments and derivatives.
✨Demonstrate Technical Proficiency
Since the role requires strong programming skills, be ready to talk about your experience with Python and any IT systems you've designed or implemented. Consider bringing examples of your work that showcase your ability to translate quantitative models into IT solutions.
✨Understand Risk Measurement Methodologies
Familiarize yourself with industry best practices and regulatory requirements related to risk measurement. Be prepared to discuss how you can contribute to enhancing these methodologies within the organization.
✨Prepare for Collaboration Questions
The role involves working closely with the Risk IT team. Think of examples from your past experiences where you successfully collaborated with technical teams to review and enhance IT systems used for risk measurement.
