Credit Risk Quant Analyst – Retail

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London, Michael Page
Our London based client is looking for a Credit Risk Quant Analyst – Retail to join their Regulatory team.

Duties Credit Risk Quant Analyst – Retail:

– Oversee the parameterisation process for the Bank’s mortgage stress test model. (20%).
– In addition to overseeing the work, the job holder will carry out parameterisation of firms’ portfolios themselves. They will ensure that consistent standards of parameterisation is undertaken across each of the firms portfolios. The specific work that they will do for the parameterisation process aligns exactly with that of the credit risk analysts:
– Review the underlying performance of firm’s mortgage portfolios, assessing and comparing such things as asset quality, risk segmentation and loss expectations. (10%)
– Undertake parameterization activity involving the examination of the stress scenario risk driver values and judging whether they are appropriate for a given firm. For example, the job holder will need to assess firms’ lending standards and business plans and make judgements on the suitability of model parameters to reflect these. (50%)
– Provide written reports / documentation that set out the conclusions and recommendations of each parameterisation review. They will oversee the written reports generated by the credit risk analysts to ensure they are of a high standard. (20%).

Qualification Credit Risk Quant Analyst – Retail:

The job holder will be used to dealing with complex business issues and will have proven experience in shaping business strategies in a technology led environment. They will be required to co-ordinate people and activities across multi discipline teams and so they should possess excellent project management and leadership skills.

The job holder will have an in depth understanding of the credit risk life cycle for all Retail products which will be evidenced by at least 10 years experience of leading analytic teams and projects.

They will have hands on experience of developing retail models and will have considerable experience of leading data mining projects. Specifically they will demonstrate a complete understanding of the following:
– Vintage reporting, arrears emergence, application and behavioural scoring, identification of portfolio and new account effects on arrears and write offs
– Collections & Recoveries reporting, including roll rate analysis;
– Product segmentation, for example the role holder should be familiar with differences between buy to let, sub prime, self cert and prime residential lending, and should be able to d

Tier 1 Financial Institution
Competitive package

Your application will be reviewed by Michael Page. Please be aware we receive a high volume of applications for every role advertised & regularly receive applications from candidates who exceed the job credentials. We will only contact you within the next 14 days if you are selected for interview.

Where specific UK qualifications are required we will take into account overseas equivalents.

Please quote Michael Page reference when applying Job ref:MPIG13353994

Michael Page is a world leading recruitment consultancy.

February 13, 2014 12:00 am

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