Please pass this on to any students who might be interested.  

These positions are suitable for MSc students with a good first degree 
(1st or 2/1) in a numerate subject, preferably Statistics or Mathematics

(mature/outstanding BSc graduates may also apply).  A very competitive 
package, including financial sector benefits, is available to successful

applicants.

Who:      Royal Bank of Scotland
Where:    Edinburgh
What:     Credit Scoring Analyst (Statistics / Operational Research)
When:     October 1999, although starting dates are flexible and quality

                   applications are welcome at any time

The Royal is the largest bank in Scotland, and the 7th largest in the
UK.  
It has a history of innovation, from the invention of overdrafts in 1728

through to the present day: the Royal Bank was the first in the UK to 
offer a full Internet banking service, and the first to carry out a Euro

transaction.

The Bank has 650 branches serving 4 million customers, with 13000 staff 
and 11 billion pounds of lending.  The Royal Bank Group is the largest 
company in Scotland, encompassing Direct Line and joint ventures with 
Tesco Personal Finance and Virgin Direct.  It recently announced profits

in excess of 1 billion pounds, the largest recorded by any Scottish 
company.

The Bank is seeking applicants to join its Retail Lending Systems 
department, which controls the automated credit decision processes for 
all personal and small business customers of the Bank.  This includes 
- the initial decision on whether or not to allow borrowing of a loan, 
      mortgage or overdraft; 
- ongoing evaluation of the performance of accounts for the purposes 
      of extending credit facilities;
- identification of signals indicating that problems are developing
which 
      may impact upon the customer's ability to repay outstanding debts.

This is achieved by means of credit scoring, behaviour scoring and 
automated decision-making systems based on modelling customer 
relationships and account performance.  The department's role is central

to achieving the vital balance between risk and reward which ensures 
continuing success for the Bank, and this has been recognised in the 
rapid growth of Retail Lending Systems over recent years to over 30 
staff.  Successful applicants will enjoy the satisfaction of
high-profile 
work with clear practical effects, within a team-working environment.

The positions we are seeking to fill require an understanding of 
advanced statistical techniques and an aptitude in using mainframe 
statistical packages to manipulate and analyse large datasets.  SAS is 
the main package used, and the department embraces new advances 
and techniques in its analysis.  Successful applicants will also be 
expected to make effective use of Microsoft Office products, such as 
Excel, Powerpoint and Word, and to present results of analyses to 
senior management.

The roles will involve implementing decision-making systems in the 
branch network which will require new employees to quickly gain an 
understanding of branch practices, culture and commercial awareness.  
Training will be on offer, including short secondments to other areas 
of the Bank if required.

Retail Lending Systems is based in Edinburgh, Scotland's capital city, 
with a skyline dominated by its 7th century Castle.  Rich in history and

culture, Edinburgh houses many museums, galleries and historic 
buildings, with a variety of parks and gardens.  The city offers a wide 
choice of bars and restaurants to cater for all tastes, and each year it

hosts the world-famous International Festival and Fringe.

Candidates wishing to apply for these vacancies should write, 
enclosing a CV, to the following address:
      Charles Buchan
      Head of Retail Lending
      PO Box 31
      42 St Andrew Square
      Edinburgh EH2 2YE

Informal queries can be directed to Dr Stuart Young (e-mail: 
[log in to unmask], tel: 0131 523 4903)


--
Dr Stuart G. Young, Analyst, Royal Bank of Scotland
Tel: 0131 523 4903, Fax: 0131 557 3447, E-mail: [log in to unmask]




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