Modelling & Forecasting Manager - Decision Science

50000.00 - 60000.00 GBP Annual + GBP50000 - GBP60000/annum Car, bonus & benefits
08 Oct 2016
05 Nov 2016
Contract Type
Full Time
Job Title: Modelling & Forecasting Manager - Decision Science
Location: Leeds
Salary: to GBP60,000 + Car, bonus, flex allowance & benefits

Our client specialises in debt purchasing and is one of the fastest growing companies in the UK. They are looking for a Modelling and Forecasting Manager to join their Decision Science team at their head offices based in Leeds.

As a Modelling and Forecasting Manager you will lead a team responsible for the company's asset revaluation and forecasting process. You will also provide analytic leadership for high-value departmental and corporate activities (involving both hands-on analysis as well as management of other analysts and process experts).
Key Responsibilities:

• Manage the post-purchase forecasting process, including presentations to the Operations groups and executive leadership and active partnership with the Finance department
• Lead the development of tracking tools that gauge current and future asset performance, and ensure that new business initiatives are accurately reflected in forecasting analyses
• Manage high-priority analytic activities of significant importance to both Decision Science and the broader organization
• Active participation in the department's Modelling Symposium, which includes discussion of theoretical and methodological papers, peer-review of ongoing projects, topical seminars, and ongoing training focused on effective communications, data visualization, and experimental methods
Key Requirements:
• Extensive experience in a related field, likely progressing from early analyst roles focused on developing and deploying financial and predictive modelling tools and methods to later team leader experience directing analytic staff
• Financial services experience, including familiarity with the logic of credit scoring and the development of marginal economic analyses
• Working knowledge of Base SAS, SAS/STAT, Enterprise Guide, or Enterprise Miner

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