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Credit risk analyst - SAS/SQL - Nottingham - £24k - £31k

Vacancy Description:

Credit risk analyst - SAS/SQL - Nottingham - £24k - £31k

Job title: Data Analyst
Skills: SAS, SQL, MSc, BSc, mathematics, Data, analysis
Location: Nottingham Salary: £24,000 - £31,000 + good bonus scheme + Benefits

The Company: This role offers the candidate the opportunity to join a company who continue to enjoy a sustained and exciting period of growth and are leaders in their field.

The role: You will be a member of a team that is pivotal to the success of the business and is at the heart of everything they do. You will drive business change, and be at the heart of risk decision making within the business.

The person: This role will be a great opportunity for you if you are motivated and driven and want to join a company with the same outlook. You will be a graduate in maths, stats or similar and will also need to have:

Experience in a highly analytical role
Advanced Excel skills
Proven experience within a pressured environment working to tight deadlines
Exceptional numeric skills and a keen attention to detail
Knowledge of SAS, SQL or similar

The salary: The successful candidate can expect a salary of £24,000 - £31,000 plus a competitive benefits package including very good bonus potential
For more information or a confidential discussion, please contact David Farmer of Harnham Search & Selection on (0208) 408 6070 or by e-mailing davidfarmer@harnhamsearch.com Our Company Harnham focuses on niche areas of recruitment where many of the UK's businesses find hiring quality employees a challenge. Harnham's primary focus includes the Statistical & Analytical, Credit Risk, Business Intelligence and IT employment markets. Contact us on 020 84086070 or cvs@harnhamsearch.com

  • Ref No:
    VAC-11395
  • Location:
    Midlands
  • Skills:
    Credit risk - Portfolio
  • Type:
    Permanent
  • Working Hours:
    Full Time
  • Salary:
    £24,000 - £31,000
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Harnham Search & Selection exist to locate, evaluate and supply skilled and valued candidates into

Statistical & Analytical, Business Intelligence and Financial Markets employment.