If interested please e-mail 
[log in to unmask] or contact Laura Roche on 
01698 804081.  Please do not reply to this email address


Pricing Analyst

Kwik-Fit Financial Services are one of the UK's 
leading home & motor insurance intermediaries and 
was recently awarded the accolade of ‘Scotland’s 
employer of the year’ 2007. We are currently 
looking to recruit a Pricing Analyst to join an 
existing high profile team. You will be 
responsible for making recommendations on 
appropriate statistical techniques to employ in 
analysis of historical KFFS data; devising, 
conducting and analysing appropriate pricing 
tests; construction, development and maintenance 
of conversion and retention models; ultimately. 
You will also provide training to other team 
members in use of statistical techniques.

You will be an excellent communicator who can 
interpret technical results for a non-technical 
audience, both in writing and orally. You will 
have excellent knowledge of analytical techniques 
including segmentation, regression, logistic 
regression and predictive modelling and hold a 
relevant degree. You will be results oriented 
with the ability to work on your own initiate and 
bring proven analytical skills to the role.

This is a high profile role, with an opportunity 
to make inputs into the strategic direction of the company.

Kwik-Fit Financial Services offer an extremely 
attractive environment and a very competitive benefits and reward package

Applications with CV or for further information 
e-mail [log in to unmask] or contact Laura Roche on 01698 804081



Position Title: Pricing Analyst


Job Purpose/Objective: To employ sound 
statistical approaches to data analysis to 
deliver sophisticated pricing and targeting of customers


Critical Tasks and Expected Contributions/Results

·          Analysis of historical KFI data
·          Devising, conducting and analysing appropriate pricing tests
·          Making recommendations on appropriate 
statistical techniques to employ in analysis
·          Construction, development and 
maintenance of conversion and retention models
·          Customer segmentation
·           Making recommendations on pricing 
actions to be taken to meet the business priorities at that time
·           Making recommendations on targeting of customer groups
·          Assist and provide training to other 
team members in use of statistical techniques

Current State of Function

·        This position will join a data insight 
team who provide MI and interpret MI for various 
stakeholders both in the business and external to the business
·        The team is going through an 
implementation of a new data warehouse which will 
change the way all tasks are completed
·        SPSS has been recently purchased and the 
team are in the process of familiarising 
themselves with this application and with new statistical techniques
·        New price elasticity models have been 
developed, but are still in an early stage and 
require significant further development.

Key Challenges

·        To gain an understanding of the factors affecting business performance
·        To gain buy-in from all relevant internal parties
·        To effectively present findings from 
complex analysis to people from non-technical backgrounds
·        Competition within the market is very strong.
·        More and more customers are buying 
through the Internet and we need to ensure our 
rates are very competitive there.
·        The prevalence of aggregators, provides 
both a challenge and an opportunity for Kwik-Fit
·        The market is hardening (year on year 
rate increases are going up) so customers are starting to shopping around more.
·        We retain our unique advantage in the 
face of this competition. I.E Outbound calling to 
Kwik-Fit customers. It is critical that we 
continue to exploit this unique route to market.

Developmental Value of Position

·        Opportunity to:
-         Influence the strategic direction of the company
-         Have input into key decision making meetings
-         Develop high profile relationships with Company Directors
·        Enhance statistical knowledge/skills through appropriate training
·        Gain exposure to senior levels of management

Experience/Knowledge Requirements

·        Excellent knowledge of analytical 
techniques including segmentation, regression, 
logistic regression and predictive modelling
·        Experience of using SPSS would be advantageous, but not essential
·        Degree educated in Mathematics, Statistics or other relevant subject
·        An understanding of the insurance market is desirable


Personal Competencies Required

·        Excellent Interpersonal Skills
·        Excellent written communication and report writing skills
·        Ability to work on own initiative and to follow agreed project plans
·        Must be able to react and respond to 
unplanned occurrences and requests for assistance
·        Results orientated
·        Able to work effectively as part of a team
·        Strong organisational skills
·        Able to make decisions based on evidence and experience
·        Good analytical skills




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James Miller
Department of Statistics
University of Glasgow
15 University Gardens
G12 8QQ
0141 3302474
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