Credit Risk Modeller - SAS/SPSS, scorecard, credit risk
|Job Title:||Credit Risk Modeller - SAS/SPSS, scorecard, credit risk|
|Salary:||£40000 - £50000 per annum + bonus, healthcare, pension|
|Contact Name:||Steven Harrison|
|Job Published:||over 1 year ago|
£40,000 - £50,000 bonus and benefits
I am currently looking for an experienced scorecard developer to join a growing team within an exciting challenger bank in Central London. An ideal candidate will have extensive experience with building application and behavioural scorecards for various banking products. Successful candidate will be familiar with modelling techniques such as logistic and linear regression and decision trees.
You will be joining an exciting team based in a modern office in the Centre of London. Senior analyst will work directly with Head of Department and are asked to deliver insight from the models they develop. Excellent statistical modelling skills are essential along with strong communication skills and stakeholder management.
My client believes in organic growth and will be looking for ambitious colleagues who are looking to for internal growth within their company. They pride themselves on growing organically and offer the opportunity for Senior Analysts to move into Head of Department positions within their company.
They are an equal opportunity employer and do not discriminate against any applicant. Sponsorship is available for candidates from outside the EU.
*Experienced in developing application and behavioural scorecards within SAS
*Experience in working with a variety of banking products i.e. credit cards, loans etc
*Very strong communication skills both written and verbal
*A strong numeric degree is preferred
If you are interested in this role or other positions across Data and Analytics please contact Steven Harrison on email@example.com or on 020 3326 4121.
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.
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