credit risk employee (m/f) in Luxembourg Centre

posted
contact
Philippe KONDRATUK, Randstad Luxembourg, Randstad Luxembourg
temporary
apply now

job details

posted
location
luxembourg centre, centre
sector
IT
job type
temporary
reference number
20337
contact
Philippe KONDRATUK, Randstad Luxembourg, Randstad Luxembourg
apply now

job description

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)