Credit Risk Manager - Existing Customer Management - SAS, SQL, Retail Banking
Up to £75,000 + bonus, healthcare, pension
My Client is looking for an experienced risk professional to manage a small team, but remain hands on analytically, within their Existing Customer Management division for their Credit Cards and Personal Loans Portfolio. In this role you will have a team of 3 reporting into you, including Analysts and Senior Analysts. You will lead a team of commercially focused analysts assessing risk against reward and ensuring that the portfolios remain profitable. The business used SAS and SQL, along with statistical modelling and machine learning algorithms, to produce effective insight.
My client is a leading lender within the UK, offering a range of consumer products, to a varied customer base. They are based in the heart of London and are investing heavily into their analytics departments to ensure they remain a leader in a competitive market. They offer excellent career progression within a hierarchy that allows autonomy and direct board contact. They offer a very strong salary and more than competitive bonus structure, while allowing for the flexibility to shape your own team.
What you need
An ideal candidate will need to be able to demonstrate:
- A strong background in retail banking across consumer products
- Very strong knowledge of SAS and SQL, happy to remain hands on
- The ability to deal with non-technical stakeholders and deliver on their needs
- High level communication skills both written and verbal
Nice to have:
- Cards and personal loans experience within the UK
- Some managerial or mentoring responsibilities
If this role interests you or you would like to have a confidential conversation about other opportunities, then please apply or contact Steven Harrison on 020 3326 4113 or email@example.com.
Parallel Consulting is a multi-awarding winning, global leader in Analytics & Data Science recruitment. With over 12 years expertise, we assist our clients within Analytics, Customer & Marketing Insight, Web Analytics, Big Data, Data Science, Credit Risk and BI.