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Risk controller

Állás részletei

  • Cég neve

    LeasePlan Hungária ZRt.

  • Munkavégzés helye

    1113 Budapest, Bocskai út 134.

  • Egyéb juttatások

    • Cafeteria
    • Egészségbiztosítás
  • Munka típusa

    • Teljes munkaidő
    • Home office
    • Alkalmazotti jogviszony
    • Általános munkarend
  • Biztosított eszközök

    • Laptop
    • Monitor (2 db)
  • Elvárások

    • Angol középfok
    • Nem kell tapasztalat
    • Egyetem
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Állás leírása

LeasePlan Hungária ZRt.

Risk Controller

Task:

  • Identify the main risk drivers within LeasePlan|ALD and the macro economy, as well as the correlations between the established factors;
  • Report on a regular basis the status of and the changes in LeasePlan|ALD’s risk profile in SAS Enterprise Guide and in Excel, Access;
  • Implement risk mitigating measures and risk control mechanisms;
  • Design and advice on uniform pricing strategies (based on quantitative models and in-house expert knowledge), involving the individual price components as well as the quantifiable behaviour of the customer;
  • Prepare and revise the statistical models on asset risk elements regularly;
  • Design, administer and quarterly revise the pricing framework (align and revise with makes and models);
  • Prepare, administer and implement management decision making process;
  • Actively involve the business in the execution of measures that focus on the opportunities for LeasePlan|ALD from a risk perspective.

Expectation:

  • Bachelors or university degree in economics or econometrics or maths or physics or IT;
  • 1-2 years relevant experience within the field of quantitative business analysis, but we also welcome applications from freshly graduated candidates;
  • Strong analytical skills and excellent knowledge of quantitative methodologies;
  • Able to translate complex issues to hands-on solutions;
  • Structured and result-oriented approach;
  • Proficient user of MS Excel;
  • Familiar with MS Access, SQL;
  • Excellent command of English both written and oral.

Other:

  • Theoretical and practical knowledge of statistical model development;
  • Knowledge of any data mining software (e.g. SAS Enterprise, R);
  • Knowledge of R programming language;
  • Knowledge of Power BI;
  • General knowledge about vehicles; categories, makes and models.

What we offer:

  • Stable international, but family atmosphere;
  • Modern, green office environment;
  • Internal career opportunities;
  • Variety of company programmes.

Sector(s):

  • Bank, Insurance, Brokering
  • Risk Manager

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