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Director of Data Science
Lord & Taylor
New York, NY, United States
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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