Review and interpret large datasets to uncover revenue generation opportunities
Ensure development of effective risk management strategies
Perform graph analytics to find and mitigate fraud networks
Manage multiple priorities and ensure quality of deliverables
Collaborate with internal strategy, technology, product, and policy partners
Support the identification of potential issues and development of controls
Engage business and technology senior leaders on reporting of project statuses
Deliver presentations that communicate technical concepts to internal stakeholders

Requirements

4+ years of experience in data and analytics
4+ years of experience in data analytics within fraud prevention
Proficient with SQL and one of SAS, Python, or Java
Familiarity with Graph databases (e.g., TigerGraph, Neo4J) and graph query languages
Problem-solving skills
Proven ability to manage projects
Excellent communication and influencing skills
Intellectual curiosity and strong urge to figure out the “whys”
Exposure to model development leveraging supervised and unsupervised machine learning
Expertise in data analytics and technical development lifecycles
Expertise handling and manipulating data across its lifecycle

Benefits

Industry-leading benefits
Access to paid time off
Resources and support to employees

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

SQLSASPythonJavaGraph databasesGraph query languagesMachine learningData analyticsData manipulationProject management

Soft Skills

Problem-solvingCommunicationInfluencingIntellectual curiosityProject managementCollaborationPrioritizationPresentation skillsStakeholder engagementQuality assurance