Model Governance and Compliance Specialist
In this position you will have the opportunity to establish standards for the entire model life-cycle. You will assume responsibilities within the Credit Risk Control Unit (CRCU) of DLL, collaborating with various essential stakeholders. Your expertise in model standards, methodologies, compliance and governance will be acknowledged and you will become the subject matter expert in these areas. Your primary objective will be to set model governance standards, guarantee the application of regulatory requirements and ensure that all activities adhere to internal and external policies.
Day to day:
* Be responsible for developing, maintaining, and continuously improving sound methodological and procedural frameworks for compliant credit risk models;
* Be a stakeholder in the development of the credit policies and be involved in quality assurance of the models which affect the modelling process, including assessment of regulatory compliance and application of methodologies and guidelines;
* Support the maintenance of DLL’s risk (IRB PD, LGD, EAD; IFRS9) and compliance models;
* Support the materiality assessment of eventual changes to the DLL’s rating Systems;
* Develop data queries and dashboards to prepare recurring as well as ad hoc reporting and analysis, ensuring high data quality and accurate information to support the department, Group Risk, and other stakeholders;
* Develop recommendations based on the performed analysis and effectively communicate results to the business in both written and verbal form.
Essentials:
* Good understanding of Risk Management principles and regulatory requirements regarding internal models for credit risk - internal ratings based approach (IRB).
* Minimum of 3 years of work experience in quantitative analysis within risk modelling in banking and finance.
* Quantitative academic education in a relevant field, like econometrics, mathematics, actuarial studies or physics.
* Experience in quantitative financial modeling; model development, CRCU function and/or model validation.
* Strong knowledge of software packages for statistical and data analysis, such as Python and R, and experience with extracting data from various databases and analysing large data sets for conversion into useful business information.
* Excellent communication skills (verbal and written) in English and ability to write clear and logical comprehensive documents and instructions.
* Able to work independently and under pressure.
DLL appreciates the time you spend applying to our openings. We advise only those who qualify for an interview will be contacted. Hiring subject to successful completion of a background check.
DLL is an equal opportunity employer. We are committed to inclusive, barrier-free recruitment and selection processes and work environments. If contacted for an employment opportunity, please advise Human Resources if you require accommodation in accordance with our values and all applicable legislation.
For further information, and to apply, please visit our website via the “Apply” button below.
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