Senior Modelling and Forecasting Analyst

09 May 2017
08 Jun 2017
Contract Type
Full Time

The Decision Science department is focused on understanding, measuring, and predicting consumer financial behaviour.

The Client- Our client is a leading provider of credit management services specialising in debt recovery, data analytics and customer insight.

This Client does not provide sponsorship.

The role-

???•?????Analytic leadership for the company’s proprietary asset revaluation and forecasting platform, with an emphasis on enhancement (e.g., ARIMA, time series, and advanced regression techniques), segment-level error analysis, and integration of current and future operational performance indicators
•?????Manage the post-purchase forecasting process, including empirical and statistical modelling, presentations to the Operations groups and executive leadership, and active partnership with the Finance department
•?????Build, implement, and maintain performance 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
•?????Provide direct support to the Finance department and CFO during annual (or other external) audits
•?????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, including developing and deploying predictive modelling tools and methods in a fast-paced business environment
•?????Financial services experience, including prior exposure to credit scoring and/or marginal economic analysis, would be helpful but is not required
•?????Previous coaching and mentoring experience would be advantageous
•?????Solid and demonstrated working knowledge of two or more of Base SAS, SAS/STAT, Enterprise Guide, and Enterprise Miner
•?????Strong data modelling and regression forecasting (likely including time series analysis, ARMA modelling, and probabilistic modelling), and database development experience
•?????Advanced proficiency with MS Office, especially Excel
•?????Exceptional problem solving skills and communication skills