VP – First Party Fraud Business Analytics Lead Analyst

Bachelor’s Degree required in statistics, mathematics, physics, economics, or other analytical or quantitative discipline.
5+ years experience in analytics and modeling or relevant area.
Extensive experience working with Big Data environment with hands on coding experience within various traditional (SAS, SQL, etc.) and/or open source (i.e. Python, Impala, Hive, etc.) tools.
Extensive experience with traditional and advanced machine learning techniques and algorithms, such as Logistic Regression, Gradient Boosting, Random Forests, etc.
Extensive experience with data visualization tools, such as Tableau.
Excellent quantitative and analytic skills; ability to derive patterns, trends and insights, and perform risk/reward trade-off analysis.
Ability to build effective presentations to communicate analytical findings to a wide array of audiences.
Effective cross-functional project, resource, and stakeholder engagement and management, with ability to effectively drive collaboration across teams.
Ability to make decisions independently with minimal guidance from management.

Leverage analytics to identify enhancement opportunities and more granular insights that can be acted upon, while ensuring adherence to Fraud Policy.
Ownership and management of fraud rules, scores, and detection strategies, Risk appetite execution, POS interdiction strategies and defect analysis.
Collaborate with cross-functional teams to provide strategy recommendations based on data and trend analysis, and implement mitigation strategies.
Build effective relationships within and outside the Fraud organization to help ensure successful and timely execution of key portfolio priorities.
Generate and manage regular and ad-hoc reporting to enable effective monitoring and identification of emerging trends.
Continually assess manual and automated processes to identify potential process gaps and opportunities.
Lead key analytical projects within the card first party fraud analytics team and support the Card lines of business by utilizing advanced predictive analytical and statistical techniques.
Leverage customer data to build risk segmentation/ mitigation strategies and complete complex analyses to identify strategy and procedure gaps, manage implementation process across several systems to affect change.
Prioritize and provide a clear line of sight to the most critical work to partners and team members.
Mentor and coach junior team members.

No preferred qualifications provided.