Business Analytics Lead Analyst, VP

4 weeks ago

Jacksonville, Florida, United States Hispanic Technology Executive Council Full time

As a key member of the Fraud Analytics, Modeling & Intelligence organization at Hispanic Technology Executive Council, this role oversees and executes fraud analytics and strategies supporting the company's North American and global credit card and retail bank businesses. This involves leveraging data to identify fraud trends and designing strategies to prevent and mitigate fraud attacks across the full fraud lifecycle, including application and synthetic ID fraud, account takeover, and sophisticated new attack schemes.

This role partners closely with Fraud Policy, Operations, and various partners to stay informed about business and technology direction and determine potential and existing fraud impacts. Responsibilities include:

  • Leveraging 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.
  • Collaborating with cross-functional teams to provide strategy recommendations based on data and trend analysis and implementing mitigation strategies.
  • Building effective relationships within and outside the Fraud organization to ensure successful and timely execution of key portfolio priorities.
  • Generating and managing regular and ad-hoc reporting to enable effective monitoring and identification of emerging trends.
  • Continually assessing manual and automated processes to identify potential process gaps and opportunities.
  • Leading key analytical projects within the retail bank fraud and digital fraud analytics team and supporting the Retail Bank lines of business by utilizing advanced predictive analytical and statistical techniques.
  • Leveraging customer data to build risk segmentation/mitigation strategies and completing complex analyses to identify authentication strategy and procedure gaps, managing implementation process across several systems to affect change.
  • Building effective relationships within and outside the Fraud organization to ensure successful and timely execution of key portfolio priorities.
  • Prioritizing and providing a clear line of sight to the most critical work to partners and team members.
  • Mentoring and coaching junior team members.

Qualifications:

  • Bachelor's Degree required in statistics, mathematics, physics, economics, or other analytical or quantitative discipline.
  • 5+ years of 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.
  • Traditional and advanced machine learning techniques and algorithms, such as Logistic Regression, Gradient Boosting, Random Forests, etc.
  • 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.

Education:

  • Bachelor's/University degree, Master's degree preferred.

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