Risk Models & Calculations cluster is responsible for:
1. Development, roll-out and maintenance of group-wide models for credit risk, operational risk, capital requirements and stress-testing (incl. tight monitoring of model performance). We are model owner and 1st line of defense for model risk.
2. Implementation of models in calculation kernels (e.g. rating models, RWA-calculation, C-VaR, LGD-Service, OpRisk and Stress).
3. Specification and implementation of rating tools as well as other central risk applications – used mainly by own Front-Ends in the credit process or in online applications.
4. Calculation of the economic capital requirements (e.g. Credit Portfolio Model, AMA for OpRisk, business- and physical asset risk - incl. stressed conditions).
5. Basis calculation for risk provisions (especially IFRS9 Stage Assignment and Lifetime-EL) and center of competency for Asset Backed Securities
6. IT-solutions for recording, management and calculation of the operational risk, tools for and management of the internal control system.
7. Operational stability of the IT-Applications (e.g. incidents or delays) but also optimization of IT-platform as well as minimization of manual processes.
8. Tailor-made risk analysis (e.g. scenarios, impact analysis, Ad-Hoc requests) in particular for the management of the current COVID-19 crisis. Professional response on customer requests.
9. Main contact for regulators, chartered accountant and internal auditors concerning model development and implementation.
10. Implementation of important regulatory and strategic initiatives: e.g. implementation and fulfillment of new regulatory requirements for AIRB rating models, acceleration of rating calculation, enablement of digital credit journey, improvement of credit decision and streamlining of credit processes.
responsibilities :
Development and maintenance of AIRB/IFRS9 LGD and CCF models for multiple portfolios
Group-wide methodological responsibility for quantitative credit risk models
Forward-looking construction of a cross-functional methodology architecture
Ensuring compliance with regulatory/accounting standard requirements (Basel / IFRS9 etc.) and EBA GL
Programming of prototypes for impact and scenario analysis in different programming languages (R/Python, SQL)
Data preparation, statistical and empirical investigations, handling of very large amounts of data, their aggregation and evaluation
Preparation of technical specifications, presentations and documentation of quantitative credit risk forecasting models
Internal and external communication, including auditors, regulators, external partners and rating agencies
requirements-expected :
Master degree in mathematics, physics, econometrics or related fields
Very good mathematical-statistical skills as well as knowledge of the mathematical-statistical basis of model development (multivariate statistical methods, stochastic processes, etc.)
Minimum 3 years of professional experience in banking, preferably within risk modelling or validation
Very good knowledge of data modelling software and coding (R/Python, SQL) with experience in analysis of huge data sets
Knowledge of regulations from credit risk models area (CRR, EBA GL, IFRS9)
English C1 level
benefits :
private medical care
sharing the costs of professional training & courses
life insurance
remote work opportunities
flexible working time
integration events
corporate sports team
retirement pension plan
preferential loans
no dress code
video games at work
coffee / tea
leisure zone
pre-paid cards
redeployment package
employee referral program
extra leave
Multisport
Skills@Work - personal & professional development program
Employee Assistance Program (psychological support)
