Chief Quantitative Analyst for Model Risk Management
2 months ago
MRM plays an integrated and central part in Danske Banks' risk management by providing an independent view of how new and existing models are performing.
Currently, the 16 people in CRMV are responsible for credit risk models (LGD, PD, CF), IFRS9 and all credit decision models, but MRM covers all model areas in Danske Bank. This one-year contract offers numerous opportunities for both personal and professional development.
“We work by a high level of empowerment, so to a large extent, you will be able to influence and structure your workday and choose the tools and innovative approaches to model validation. And you will have the opportunity to work closely with colleagues in the entire MRM department.”
Work across the function in Model Risk Management
As a member of CRMV, you will work in collaboration with a diverse and highly skilled group of colleagues across various functions in MRM and key stakeholders (model developers and model owners), advising on model design, implementation and performance. You will:
- Coordinate projects, where you will play a focused participant in getting the work done.
- Organize and run a comprehensive analysis of the specific models and data applied using applicable quantitative methods and tools.
- Assist less experienced colleagues on assignments/projects.
- Based on the data analysis, interpret the results and write your conclusions.
Having concluded, you will report and present your findings together with colleagues to relevant stakeholders, including senior management, business units and the Danish FSA (the regulatory supervisor of Danske Bank Group). Gaining experience, you will provide input to the validation process to optimise this.
Can you handle data with high quality?
We are looking for a team-oriented person with motivation and commitment to deliver high quality on time. You are able to encourage assignments and ensure a high-quality outcome.
Furthermore, we expect you to have experience applying your investigative skills, be proficient with data handling and be able to transform insights from statistical analysis into actionable findings – and we also hope you bring to the team:
- University degree in a quantitative field (e.g. mathematics, physics, economics, engineering, statistics).
- Experience of validating IRB models, solid knowledge of the relevant regulation and ability to interpret the requirements.
- Minimum 5-6 years of model validation or model development experience, preferably using analytical tools such as Python and/or SQL.
- Thorough understanding of data quality and key sources of data.
- Upper-intermediate English, both spoken and written – and solid communication skills.
You have an interest in motivating and guiding less experienced colleagues while paying attention to detail. If you also have the ability to meet deadlines with tight time constraints, then we cannot wait to hear from you
Caught your attention?
If you have any questions please feel free to contact Alex Oleinikov at .
We look forward to hearing from you
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