Állás részletei
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Cég neve
KPMG Tanácsadó Kft.
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Munkavégzés helye
Budapest -
Munkaidő, foglalkoztatás jellege
- Teljes munkaidő
- Általános munkarend
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Elvárások
- Angol középfok és
- Magyar anyanyelvi szint
- Pályakezdő/friss diplomás
- Főiskola
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Company info
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.
What we offer:
- 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.
What we believe in and do jointly with You:
- 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.
What brings you aboard:
- 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.
Workplace extras
- Cafe
- Corporate events
- Bicycle storage
- Parking
- Sports facilities
- Free coffee, soft drinks
Apply
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