Director of Data Science, Fraud

Job Description

As a key member of the HBC Customer Loyalty, Insights & Engagement COE (Centre of Excellence) team, the Director of Data Science, Fraud will own the analytical and data agenda in support of reducing fraud across all HBC banners.

•Responsible for developing strong relationships with stakeholders across the organization including asset protection, corporate customer service, store operations and the COE.

•Will leverage well develop skills and abilities in data analysis to create significantly more effective and efficient fraud mitigation strategies.

•Develop a data management strategy that will enable significantly improved analytics and reporting for fraud and work closely with HBC technology teams to implement that vision. 

•Instituting regular reporting and review processes, conducting in-depth analytical projects to developing predictive models

•Present findings and work with stakeholders to turn the insights into action that delivers both short term and longer term benefit for the organization.

•Will have a keen eye on what is happening in the industry and working to deliver a best in class fraud analytics function within HBC.

Qualifications •5-10 years prior experience in Fraud Analytics or closely related data sciences field. •Proven ability to synthesize data into actionable strategies and tell the story.•Expertise in SQL, SAS or other programming language to query data and perform analysis•Strong organizational and project management skills•Advanced PC skills; Microsoft Office, Excel, Word, Power Point•Proven ability to work independently to achieve desired results – a self starter able to quickly assess situations and move to action. •Excellent communication skills both written and verbal•Strong decision making and problem solving skills•Ability to navigate across the organization and influence stakeholders at all levels.•Prefer experience in conducting fraud analytics in other retail organizations, credit card companies, card processing companies, or others.•Broad experience in delivering analytical projects to drive strategy and value.•Well-versed with the payments world as well as with card network regulations in regard to chargebacks•Knowledge of Accertify and or Cybersource helpful but not required. Education:Post-Secondary Education, preferably in Engineering, Statistics, Operations Research, Financial Engineering, Applied Mathematics, Econometrics, Business Analytics or other Mathematics field