Karrier Portál

Quantitative Developer

Budapest

Challenges

  • NN RAS (Risk and Actuarial Services) is a Centre of Excellence for NN Group, focusing on top quality and efficient solutions. We serve as an internal centre of consultancy, training, innovation and automation. We support various quantitative departments at NN Head Office in the Hague (the Netherlands) and NN subsidiaries all over Europe.
  • Due to the increasing demand from Business Units and Head Office, the NN RAS team – operating with more than 40 people – is in a continuous and dynamic growth. Actuaries, mathematicians, data scientists, physicists and software engineers form the multinational team of NN RAS.
  • We care for employee satisfaction with high levels of empowerment, plenty of development opportunities, focus on healthy work-life balance and modern working conditions.
  • NN RAS provides support in 5 professional areas as an internal consultancy: Economic Scenario Generation, Quant Development, Modelling & Scripting, Cashflow Modelling and Model Validation.
  • There are also various project teams being formed for actual insurance-related matters to help NN stay a pioneer in its industry, such as the IFRS17 project team.
  • The NN RAS 𝗤𝘂𝗮𝗻𝘁 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁 department opens now a vacancy for a 𝗤𝘂𝗮𝗻𝘁𝗶𝘁𝗮𝘁𝗶𝘃𝗲 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗲𝗿 to contribute at the further improvement of the NN risk systems.

What matters to you

  • Your responsibilities will include:
  • Implement the mathematical models used to compute risk on the balance sheet of the company
  • Ensure correctness and efficiency of the calculations
  • Deliver high quality code, including automated testing
  • Work together with business analysts and software engineers to design the most optimal computational solutions
  • Provide user support (e.g. interpret the results)

What matters to us

  • Are you passionate about programming and making use of the latest technologies, including Cloud computing? Then we are seeking for you – klick on the ‘Apply’ button below if you are meet with the requirements listed below!
  • University degree in Mathematics, Physics, Econometrics, Actuarial Sciences, Computer Science or related field. A PhD would be advantageous
  • Proven experience in working with large code bases, preferably in banking or insurance. Ability to write clear and well-structured code in object-oriented programming languages (C#)
  • Practical knowledge of financial derivatives, including the techniques to price them. Familiarity with the methodologies for the calculation of Market Risk (e.g. Value at Risk). Ideally, knowledge of Solvency II
  • Good understanding of the concept of pricing financial instruments and the risks associated to them
  • Practical hands-on approach and an eye for detail with the understanding of the global picture
  • Excellent communication skills in English and cooperative spirit

Build your business at NN! Why is it good for you?

  • Challenging projects within an exciting multinational, yet familiar work environment
  • Plenty of opportunities to develop yourself: skills and personal development are high priorities at NN RAS
  • Becoming part of a hard-working, international team with professional and expert colleagues – Possibility to learn from senior colleagues
  • Outstanding career opportunities – including mid-term opportunities to work abroad
  • Competitive compensation package
  • Possibility to work under Agile/Scrum methodology within a DevOps team supporting a large code base
  • Opportunity to have and even give trainings
  • Modern working conditions with room for individual choices (brand new office building, ergonomic equipment, flexibility in working hours, opportunity to work remotely, etc.)

Are you ready? Apply to us!

  • In case you are interested in the position, please register and send your CV via our Career Portal or to balogh.edina@nn.hu e-mail address.
  • Your files will be handled confidentially.

Details of position

Job ID: 2560
Position name: Quantitative Developer
Place of work: Budapest
Job contract type: Permanent contract
Daily work hours: 8

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