Date: March 1, 2011

Re: Analyst, Customer Modeling & Analytics

Location: GTA, Ontario

Industry: Retail and Financial Services

Job Overview:

This position plays a key role within a Credit Card Customer Life Cycle Management Department by building and executing statistical models that help predict customer behavior and support Credit Risk and Marketing Strategies for customers.

Responsibilities

• Reports to Manager, Customer Modeling & Analytics.
• Develops predictive models that will form the basis of information-driven strategies executed within the department for credit limit assignment, marketing promotions, customer service, collections and other functional areas.
• Conducts validation and maintenance of all statistical models and recommends appropriate courses of action.
• Develops and maintains expertise with lending, credit scoring, behaviour scoring, portfolio management, direct marketing, data mining and industry trends.
• Consults with internal clients to help with planning and executing statistical analysis to assist in meeting business objectives.
• Ongoing monitoring of model performance and provides appropriate statistical analysis.

Required Competencies

• University degree in Mathematics, especially Statistics or Combinatorics and Optimization.
• Strong knowledge of statistics and predictive methodologies.
• Proven ability to translate business needs into statistically sound solutions.
• Programming experience, especially with data extraction/mining tools (e.g. SAS and SQL).
• Keen interest in a career in predictive analytics.
• Credit Card, Personal Insurance or other Financial Services experience.
• Experience in the development of customer segmentation and profiling strategies.
• Experience with predictive modelling/data mining software SAS.
• Knowledge of credit scoring and strategy development techniques an asset.
• Experience with Credit Risk systems (e.g. TRIAD, Acquisition Adjudication systems an asset.