Contribute to the development of quantitative methodologies for assessing credit and market risk across Swiss Re’s reinsurance and capital markets portfolios
Support the design and documentation of model specifications, including data requirements, model assumptions, and validation criteria.
Assist in building and maintaining prototype datasets and risk factor feeds for the internal capital model, ensuring alignment with finance system structures and accounting standards.
Conduct quantitative analysis and testing to evaluate portfolio risk sensitivities and support enhancements to risk measurement systems.
Support new product assessments, including parameter estimation, stress testing, and scenario analysis related to credit and market risk.
Collaborate with senior risk managers and system developers to ensure consistent implementation of methodologies.

Requirements

You have a quantitative background, with a degree in Mathematics, Statistics, Finance, Engineering, or another analytical discipline.
You may be working toward an actuarial or professional qualification or are keen to develop further in this direction.
You have some experience or exposure to risk, capital modelling, or quantitative analysis — ideally within the (re)insurance or financial industry.
You enjoy working with data, have good analytical skills, and are comfortable exploring large and complex datasets.
You have basic experience in programming tools such as R, Python, or DAX, and are enthusiastic about building your technical skills further.
You have a foundational understanding of financial and accounting concepts, such as IFRS 9, IFRS 17, and SST.
You are curious about capital markets and financial risk, and eager to apply quantitative methods to real-world risk management challenges.
You are a self-starter who learns quickly, enjoys problem-solving, and works well in a collaborative, technical environment.
Preferred Exposure to risk modelling, capital model frameworks, or financial data analysis (through prior work, projects, or study).
Familiarity with reinsurance products or capital market instruments.
Interest in data visualization or reporting tools such as Power BI or Shiny.
Basic understanding of SQL or other database tools.
Clear and structured communication style, with the ability to explain analytical findings to others.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

quantitative analysisrisk modellingcapital modellingparameter estimationstress testingscenario analysisdata analysisfinancial conceptsaccounting standardsanalytical skills

Soft Skills

problem-solvingself-startercollaborativecuriositycommunicationadaptabilitylearning agilityexploratory mindsetteamworkstructured thinking

Certifications

actuarial qualificationprofessional qualification