Internship Hedging longevity risk with index-linked instruments

  • VB Advisory
  • Hoofddorp, Nederland
  • nov 10, 2021
Internship Quantitative Finance Actuarial Sciences IT Data Science Consulting Software Engineer

Job Description

Scope

Insurance companies and pension funds manage longevity risk using longevity swaps or index-based hedges. VB Risk Advisory B.V. is currently working to establish a digital marketplace for longevity risk: Longitude Exchange; an InsurTech start-up. Longitude Exchange contains a range of longevity modelling and analysis tools that can be used to model and analyse longevity risks.

The aim of this internship is to extend the toolbox of Longitude Exchange. This means implementing new mortality models; statistical estimation, Monte Carlo simulation and forecasting/projection, risk analysis, especially basis risk (index versus portfolio longevity), as well as balance sheet analysis methods.

Description

Next to a personalized internship in an extremely relevant topic in the pension fund and life insurance industry, the VB risk advisory team prepares you for a career in the financial industry. This internship will help you acquire financial risk management skills, programming skills and provide you the flexibility in terms of working hours. Your hard work will be recognized and rewarded both financially and through development opportunities. We are preferably looking for an intern that wants to gain hands on experience implementing actuarial mortality models in a production system.

Functional work area

Quantitative Modelling / Actuarial / System Implementation

Hours per week

 36 – 40

What we offer

  • The possibility to get hands-on experience under experienced supervision;
  • Compensation at market rate;
  • Reimbursement of travel expenses;
  • Flexibility in terms of working hours and location;

Requirements

Applicant characteristics

Quantitative academic education (MSc Student) in a relevant field, like actuarial science is a must. The preferred candidate is flexible, proactive and has a positive attitude. Furthermore, accuracy, problem solving skills, decision making skills and ability to work independently with tight deadlines is required as well. Strong affinity with Quantitative Models, Finance, Actuarial risk and Data.

Competencies

Experience in advanced programming language (Python is a must, experience with GIT is a pré) and interested to work with large datasets.

Required language skills

Well versed English, Dutch is a pré.

How to apply

Interested and ready for a challenging and promising graduation period? Send your Curriculum Vitae to us! In case of any questions with regard to this graduate internship do not hesitate to contact Bram Ebben (b.ebben @vbadvisory.nl) or send your contact person information and motivation letter to s.bergsma@vbadvisory.nl.