One of the UKs Leading Motor Finance companies is currently looking for a Quantitative Analytics Manager to primarily be responsible for scorecards and models of the society roll out process.
This role operates on a hybrid model, requiring at least 2-3 days a week in the office in Redhill, Surrey. Remote workers will not be considered.
The Role:
* Development for the following IRB (Internal Rating Based) models in accordance with internal policies and standards:
o Rating, PD, LGD and EAD models
o Stress testing models
* Production of model documentation and reports in accordance with internal standards, including:
o Writing thorough model development documents, both technical and business, using MS Word
o Generating reports related to the models using SAS/R and Excel
o Managing ongoing model maintenance (calibration) and monitoring once IRB is in BAU
o Proactively designing and improving models for business use, understanding the nature and change of business, and managing discussions with stakeholders
o Challenging and improving the efficiency of the models and their performance, ensuring compliance with regulations and business requirements
o Analyzing the impact on model performance due to changes in business activity, market, and/or economic performance
o Providing input to ongoing regulatory self-assessment for IRB, coordinating responses from various stakeholders on regulatory requirements
o Supporting the provision of data on model testing and monitoring, including regular monitoring of the models using SAS/R and Excel
o Testing the input and output of the models and their performance using SAS/R and Excel
o Supporting remediation activities of IRB gaps by reviewing and understanding gaps in relation to regulatory requirements
o Conducting ad hoc model testing and recalibration based on monitoring results and remediation requirements
o Representing SCUK on appropriate internal and Group committees and forums
o Independently presenting monitoring results and associated measures to various stakeholders
o Adhering to our commitment to Consumer Duty, ensuring we put our Customers' needs first and set higher standards of consumer protection
The Candidate:
* Extensive knowledge and experience in model development and validation in IRB or IFRS9 environments
* Hands-on experience with statistical data programs such as SAS, Python, or R
* Good understanding of IRB regulation (CRR, PRA, EBA) and its interpretation for modeling purposes
* Substantial experience and knowledge of credit risk and products
* Understanding and relevant experience in using a variety of statistical techniques
* Familiarity with technical and regulatory terms, with the ability to translate these to stakeholders in non-technical language
* Strong ability to articulate findings and recommendations to stakeholders in non-technical terms
* Strong Microsoft Office skills, particularly in Excel
* Strong analytical background and numerical skills
The Benefits:
* Competitive salary dependent on experience
* 30 days holiday per annum, plus bank holidays
* Annual bonus based on personal and company performance
* Car allowance
* Private medical cover
* Generous pension contributions
* Employee assistance programme
* Sharesave scheme
* Gym passes at a reduced rate for 3,000 gyms, leisure centres, etc.
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