credit risk employee (m/f) in Luxembourg Centre

publié
contact
Philippe KONDRATUK, Randstad Luxembourg, Randstad Luxembourg
mission d'intérim
postuler >

job details

publié
lieu
luxembourg centre, centre
secteur
Informatique & IT
type d'emploi
mission d'intérim
référence
20337
contact
Philippe KONDRATUK, Randstad Luxembourg, Randstad Luxembourg
postuler >

description du poste

We're looking, for one of our client, an online service based in Luxembourg city, for a 6-month replacement, for a :

Credit Risk Employee

Purpose : Oversee credit policy compliance and portfolio performance on the bank’s consumer and commercial/working capital lending activities to small- and medium-size businesses

Job Responsibilities

- Manage credit, collections, consumer and seller risk policy documents as well as policy change governance
- Monitor credit policy execution and ensure compliance with existing policies and procedures
- Interact with the global credit collections team to monitor and provide feedback in the development and execution of collection policies and understand the drivers of the collections performance
- Interact with the regulatory reporting team to oversee the forbearance and non-performing exposure reporting to CSSF
- Interact with the global credit, finance, and collections teams to monitor roll rate and loss forecasting and reserving process based on IFRS 9 accounting methodology
- Interact with the global credit finance and accounting teams to monitor financial results, and understand the drivers of the financial performance any variance to the budget
- Participate in credit audits and inspections to provide support to internal and external auditors and regulators as needed

Job Requirements

- Bachelor’s or master’s degree in a related field
- 5 to 10 years of experience in credit risk management and underwriting in consumer or commercial/small- and medium-size business credit products
- Strong written, oral, and interpersonal skills a must
- Banking regulatory background in US and EU preferred (primarily)
- Data analysis skills and SQL, SAS, and Teradata experience preferred (secondarily)