Senior Modelling Analyst - Pricing - Manchester

Aspire Data Recruitment
£35000 - £45000 per annum, Benefits Bonus & benefits package
15 Feb 2017
15 Mar 2017
Contract Type
Full Time
Job Title: Senior Statistical Modelling Analyst
Location: Manchester
Salary: c. £40,000 + bonus & benefits

Based in the city centre, our client is a leading debt purchase company. The analytics and data management teams are at the heart of the business and are seen as key to their success. The company is experiencing a period of significant growth and is well positioned to acquire substantial product in the coming years.

They currently have a vacancy for a high-calibre RAnalyst to join their investment team. The investment team is responsible for originating deals, portfolio pricing, structuring and closing of transactions. The post holder will be joining a dynamic and entrepreneurial team and can expect daily interaction with board level executives. Accordingly, the role offers the opportunity for rapid progression, and strong performance will be quickly recognised and well rewarded.

The Investment Analyst will work as part of the Chief Investment Officer’s (CIO) team, supporting the CIO and Senior Investment Manager across several areas, including:
  • the production of business cases to support debt purchasing decisions through the application of statistical forecasting models
  • continuous development and enhancement of those models
  • continuous development and enhancement of management information
  • post-acquisition, early review and analysis of actual performance vs. forecast
Candidate Profile

The ideal candidate will be a quick learner with the ability to think on their feet, self-motivated, highly numerate, proficient in SQL and confident in communicating with stakeholders, some of them senior members of the business. Specific training will be provided in relation to other analytical tools, such as SAS, where appropriate.
  • Experience in financial analytics
  • Evidence of high numeracy and problem solving skills
  • Experience of data manipulation and/or mathematical programming
  • Excel skills (inc VBA)
  • SQL programming
  • Experience of statistical and/or econometric modelling/forecasting
  • Practical experience of statistics
  • SAS skills – not essential
  • Numerate degree – 2:1+, strong A Levels (including Maths)