Team Head Rating Modelling (EAD, LGD, IFRS9) (m/f/d)
HypoVereinsbank is part of UniCredit, a simple, successful Pan European Commercial Bank, with a fully plugged in Corporate & Investment Banking, delivering a unique Western, Central and Eastern European network to its extensive client franchise.
We offer our employees professional development all over Europe, consisting of both job and learning opportunities. UniCredit has been certified as an European Top Employer returning year-for-year consistently high employee engagement.
Within this unit we, the Credit Risk Modelling team, are responsible for managing the credit risk models for Rating and Credit Decision Engine. Leveraging its extensive expertise in risk modelling, we ensure that the single credit exposure is adequately evaluated and it contributes directly with the firm’s risk appetite. Staffed with more than 50 professionals, our unit CRS operates in an international environment with a strong cooperation with our Holding in Milan and work closely with many areas within the bank. Given this structure, we gain divers risk experience and a broad perspective on how the entire bank functions. The interaction with numerous departments and the range of projects that ensue, allow for a challenging, varied and multi-dimensional environment.
~ Develop within a team new rating models considering the regulatory compliance and internal rules. The data history is retrieved with support of our InfoFlow, Chief Data Officer and IT team. Based on long run histories rating models for PD (Probability of Default), LGD (Loss Given Default) and EAD (Exposure at Default) are estimated on statistical methods. Based on the IFRS9 standards the modelling and quantification of GLLP (General Loan Loss Provision) is run as well in the unit.
~ Coordinate the programming of the prototype with SAS/SQL in a transparent, reproducible and efficient manner. All programming steps and results are documented in English to allow the control units independent checks and a continuous document to trace decisions during modelling. The documentation is performed in LaTeX.
~ Active communication of the results and impact analyses to the team and management in a proactive way. Be inclusive to allow the strategic teams to react on model impacts.
~ Coordinate and be part of internal and external control functions such as internal audit or ECB (European Central Bank).
~ Interact with other bank functions to ensure a proper understanding of key processes and to be aligned over time. Build up your network and increase the collaboration between the multi-dimensional units.
~ Degree in Economics / Statistic / Mathematics / Business related discipline or relevant work experience
~ Strong interest and familiarity with credit risk, modelling and processes
~ Strong analytical and quantitative skills (Knowledge in SAS or SQL of advantage)
~ Demonstrate track record for independent decision making
~ Must be able to lead and motivate the team, provide guidance to and supervision of junior members of the team
~ Strong documentation, presentational and communication skills
~ Ability to work flexibly as you will be involved in different projects and to work autonomously
~ Fluent English, German is a plus
~ Familiarity with regulatory rating requirement and application of such guidance is an advantage
~ A corporate culture that is characterized through openness, dynamics and internationality with opportunities for your personal development
~ Responsible and exciting activities in a dynamic market environment with a good mix between methodology and technical implementation
~ Active contribution to the digital transformation within the finance sector especially automation of the credit processes
~ Interdisciplinary environment with multiple interfaces, such as holding, senior risk management and the local and global data office as well as internal and external IT providers
~ A strong committed, high professional working atmosphere with international experienced colleagues
~ Flexible working hours and attractive compensation
If you feel addressed by this challenge and you want to become part of our team, we are very much looking forward to receiving your application through your CV.
Kontakt: Lemke, Alice; +49 89 378 46752 Straßburger, Louise; +49 89 378 30829