Print

Print


Dear Allstat

A large leading financial organisation has a unique Statistical Modelling Manager’s position in the fraud analytics division to fill that will see you in a high profile managerial position getting your hands dirty with in-depth statistical Research and Development. On the look out for a data mining expert with a real flair for analytics and spotting patterns in data, if you love solving big problems with statistics then this is the role for you. 

The role will be to – 

•	Play a large part in the research, development and implementation of cutting edge data analytics and statistics
•	Use in-depth statistical / pattern recognition / data mining / computational statistics techniques to spot unusual transaction behaviour across the company 
•	Research and develop new innovative analytical techniques
•	Help set the strategic vision of the fraud analytics division
•	Motivate, mentor and deliver leading fraud analytics as part of a highly able and driven analytics team
•	Manage stakeholder relations and represent the company at outside forums
•	Be constantly on the look out and driving towards improving modelling procedure and accuracy

Send your CV, or better still give us a call, to be considered for the shortlist.
 
Are you a Statistician, Analyst, Econometrician, Quantitative Analyst? Haven't found what you are looking for? If you are looking for a statistical role within the analysis market then give us call or visit our website. We have a variety of jobs available for Statisticians or Econometricians. Try visiting us at www.corporate-recruiter.co.uk

Location: London


Salary: Negotiable up to 50K + bonus + benefits depending upon qualification, skills and experience 


To apply or for more information:


Call and / or send your CV to: [log in to unmask] Please quote ref: AS/1688/SC in the subject line

 

Kind regards



Angela Smythe

Corporate Recruiter
020 7861 9987
www.corporate-recruiter.co.uk 

You may leave the list at any time by sending the command

SIGNOFF allstat

to [log in to unmask], leaving the subject line blank.