KPMG Tanácsadó Kft. logó

Junior Consultant- Credit risk modeler

Állás részletei

  • Cég neve

    KPMG Tanácsadó Kft.

  • Munkavégzés helye

    Budapest
  • Munkaidő, foglalkoztatás jellege

    • Teljes munkaidő
    • Általános munkarend
  • Elvárások

    • Angol középfok és
    • Magyar anyanyelvi szint
    • Pályakezdő/friss diplomás
    • Főiskola
Állás elmentve
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Állás leírása

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We help our clients with industry-specific services to create value and manage risks. Our wide-ranging client portfolio enables you to gain real-life experience in industries such as telecommunications, energy, IT, finance or sports, and to work on ground-breaking projects.
  • be the part of a young, dynamic and motivated team,
  • improve yourself through on the job learning and professional mentoring
  • work with prestigious clients in Hungary and across the Globe,
  • get to know the most exciting projects in the banking and insurance sector,
  • have flexible working schedule with our hybrid office presence policy and respect for your work/life balance,
  • competitive remuneration package.
  • participate in various risk management and quantitative risk modeling projects for banking and other sectors;
  • participate in model validation projects for a wide variety of risk models;
  • support audit teams as a quantitative expert during the validation of IFRS 9 ECL models;
  • contact with clients and actively support project planning and coordination;
  • in support of business development, participate in customer meetings, prepare and present professional materials.
  • 1-5 years of professional experience in credit risk modelling or validation;
  • strong academic background with a degree in a quantitative discipline, such as economics, finance, statistics, or mathematics;
  • demonstrated proficiency in at least one programming language, such as R, Python, SAS;
  • knowledge of Basel III, EBA model development guidelines, and IRB-Advanced modelling requirements;
  • familiarity with IFRS 9 modelling framework and standards is a plus;
  • basic knowledge of bank modelling framework, standards, regulations, and financial products;
  • strong interest in quantitative modelling, portfolio and risk models;
  • familiarity with machine learning algorithms and their application to financial problems is a plus;
  • accurate work style, ability to work both independently and collaboratively in a team;
  • excellent command of written and spoken English;
  • high level of flexibility and ability to handle periodic workload peaks.
  • Cafe
  • Corporate events
  • Bicycle storage
  • Parking
  • Sports facilities
  • Free coffee, soft drinks

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