pythondata analysisinsurancemodel validationrisk modelingquantitative modelingsolvency ii
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Hirify AI/Оригинал
TL;DR
Medior Risk Modeller (Insurance): Developing and maintaining quantitative non-market risk models for NN Non-life with an accent on insurance data analysis, model calibration, and auditable methodologies. Focus on assessing model performance, reviewing Python implementations, and explaining model assumptions and results to actuarial, validation, and supervisory stakeholders.
Location: The Hague, Netherlands; hybrid working
Salary: €5,339–€7,119 per month based on 36 hours, depending on knowledge and experience.
Company
hirify.global is a Dutch financial services company supporting more than 18 million customers and working on the Netherlands' vital interests.
What you will do
Analyse historical insurance data for completeness, accuracy, and representativeness in internal model applications.
Develop, calibrate, and substantiate quantitative risk model methodologies, assumptions, and expert judgements.
Assess model performance through sensitivity analyses, backtesting, and other quantitative analyses, documenting methodology and calibration clearly and audibly.
Explain methodological choices, assumptions, limitations, and model results to actuarial users, independent reviewers, Model Validation, the Actuarial Function Holder, and DNB.
Critically review technical model implementations, including Python code, and develop shadow tooling and controls to verify calculations and results.
Take responsibility for models or model components from methodological development and calibration through implementation, governance, and stakeholder challenge; depending on experience, coordinate colleagues and coach junior team members.
Requirements
Master’s degree in Econometrics, Mathematics, Actuarial Science, or a comparable quantitative discipline, combined with relevant experience in quantitative, risk, or capital modelling.
Strong understanding of statistical and quantitative modelling methods, including the ability to critically assess and develop methodologies, assumptions, and expert judgements.
Ability to clearly explain and substantiate complex analyses and methodological choices to actuarial users, independent reviewers, and supervisory authorities.
Experience with Python or similar quantitative programming languages and the ability to understand and critically review quantitative model implementations.
Collaborative and proactive working style, with the ability to build effective relationships across Risk, Finance, and the business.
Nice to have
Experience with non-life insurance, Solvency II and internal models, insurance data, actuarial modelling, or model validation.
Strong quantitative modelling skills and the ability to learn quickly are valued even when every preferred qualification is not met.
Culture & Benefits
Hybrid working in an inclusive, collaborative, and relatively young team of nine professionals.
Permanent or fixed-term contract with a 36-hour working arrangement.
13th-month payment, holiday allowance, 27 vacation days for a five-day working week, and three Diversity Days.
Modern pension administered by BeFrank, training and learning opportunities, and home-office and internet allowances.
NS Business Card 2nd class with unlimited travel, including private travel, or reimbursement for kilometres travelled by private transport.
Hiring process
Questions about the job can be directed to Paul Fieten by phone or WhatsApp; process questions can be directed to Natalia Szymanski by email.
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