|Job Title:||Credit Risk Modelling Analyst|
|Location:||City of London, London|
|Salary:||Up to £50000 per annum + Bonus, pension, benefits|
|Contact Name:||Steven Harrison|
|Job Published:||13 days ago|
Up to £50,000
SAS, SQL, Scorecards, Retail Banking, Statistical Modelling
My client is looking for an experienced risk analyst with a strong statistical background, to join their rapidly expanding team. Within this role you will be developing risk models including application and behavioural scorecards, PD, LGD and EAD models. You will also have exposure to stakeholder management, delivering the models, and their findings to senior non-technical stakeholders. You must be ambitious and be looking to progress rapidly into a more senior position, as this business will be looking to promote quickly within the business.
My client is a leader in consumer lending, boasting some of the best and brightest within risk and analytics, within their team. The are based in the heart of London, in one of cities best offices and are rapidly expanding and growing. Their teams are very cross collaborative and you would receive exposure to other areas of the business, along with the opportunity to move teams. They have a very fast paced environment, with excellent opportunities to learn and develop.
What You Need:
A successful candidate will need to demonstrate:
*Strong Statistical Modelling - developing scorecard, PD, LGD or EAD models
*Excellent knowledge of a statistical tool such as SAS, R or Python
*Knowledge of retail banking products
*Very strong communication and presentation skills
Nice to have:
*Previous experience with senior stakeholder management
*A maths-based degree from a reputable university
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.
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