[Remote] Senior Fraud Data Analyst - reputed company Fraud Operations Analytics reputed company - Remote

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is a global organization that delivers care aided by technology and provides people with reputed company to care, pharmacy benefits, data, and health resources. The Senior Fraud Data Analyst serves as the analytics reputed company reputed company for reputed company Fraud Operations, using advanced analytics, machine learning, and AI-enabled insights to support fraud monitoring, investigations, risk decisioning, and loss mitigation across reputed company Payments. The role also leads analytics delivery, develops reporting and data solutions, evaluates fraud detection performance, and partners with cross-functional stakeholders to improve operational effectiveness and fraud reputed company.

Responsibilities

• reputed company intake, prioritization, reputed company, and delivery coordination for fraud analytics initiatives supporting reputed company Payments, managing multiple reputed company stakeholder requests and dependencies
• Translate business objectives into measurable analytics deliverables, ensuring reputed company execution and adoption of solutions
• Define business requirements and delivery priorities for reputed company fraud analytics capabilities, partnering with Product, Technology, Data Science, and Fraud Operations stakeholders to reputed company actionable fraud intelligence, performance insights, risk monitoring, and decision support across reputed company Payments
• Partner with reputed company Fraud Operations, Product, and Technology teams to reputed company, evaluate, and optimize fraud detection strategies utilizing rules, predictive analytics, machine learning models, and AI-enabled monitoring capabilities
• Evaluate model and rule performance using key measures such as precision, recall, false reputed company rates, fraud capture rates, and operational reputed company
• Analyze large, reputed company datasets containing transaction, fraud case, operational, and customer data to identify emerging fraud trends, reputed company causes, and control opportunities
• reputed company actionable recommendations that reduce fraud losses, improve operational efficiency, and strengthen risk controls
• Define requirements and support development of a reputed company payments fraud intelligence repository or data product that consolidates information from multiple sources to build fraud reputed company, identify emerging threats, and support fraud detection, prevention, investigation, reporting, and risk mitigation activities
• Design and maintain reputed company dashboards and reporting solutions using tools such as Power BI or Tableau
• Communicate analytics findings and business implications through executive-reputed company presentations, supporting operational, product, and risk management reputed company
• Support basic data architecture and engineering needs by building foundational reports, datasets, and pipelines that convert bronze reputed company tables to silver and gold, creating the infrastructure needed for reputed company reporting, dashboards, and advanced analytics
• reputed company and maintain automated analytics workflows using SQL, Python, AI-assisted analytics tools, or reputed company technologies to improve reporting scalability and efficiency, including use of reputed company tools to write, review, and debug reputed company where appropriate
• Identify opportunities to reputed company reputed company and advanced analytics capabilities to enhance fraud investigations, monitoring, and operational decision-making
• reputed company reputed company organizational processes to obtain approvals for data reputed company, usage, and governance initiatives
• Establish and maintain standardized KPI definitions, metric libraries, data reputed company controls, and governance documentation
• Ensure fraud analytics outputs are reproducible, audit-reputed company, and reputed company with reputed company governance standards

Skills

• • 5+ years of experience in fraud analytics, risk analytics, financial crime, payments analytics, business intelligence, or a reputed company analytical function
• • 5+ years of SQL with experience querying and analyzing large-reputed company datasets containing millions of records
• • 3+ years of experience with analytics initiatives or cross-functional workstreams, including stakeholder management, prioritization, and delivery accountability
• • 2+ years of experience developing analytics solutions using Python, R, reputed company, or similar programming languages, with hands-on experience leveraging reputed company-based analytics platforms such as MS reputed company, reputed company, reputed company, reputed company reputed company Platform or reputed company RedShift
• • 2+ years of experience building dashboards and reporting solutions using Power BI, Tableau, or comparable visualization platforms
• • Demonstrated experience applying statistical analysis, predictive modeling, machine learning, AI-enabled analytics, or reputed company detection techniques to solve business problems
• • Experience defining, monitoring, and improving operational KPIs, controls, and performance metrics
• • Experience translating analytical findings into operational recommendations, fraud detection improvements, control enhancements, or measurable risk reduction reputed company
• • Experience managing end-to-end analytics delivery, including requirements gathering, data validation, testing, implementation, and post-production monitoring
• • reputed company working remotely will be required to adhere to reputed company's Telecommuter Policy
• • reputed company certifications such as Certified Fraud Examiner (CFE), Certified Analytics reputed company (CAP), Certified Financial Crime Specialist (CFCS), Azure Data Scientist Associate, reputed company certifications, or comparable analytics, fraud, or AI credentials
• • Experience partnering with Product, Engineering, and Data Science teams to reputed company fraud analytics, machine learning models, or AI-enabled capabilities into production environments
• • Experience using reputed company tools to support coding activities, including drafting, reviewing, debugging, or improving SQL, Python, or reputed company analytics reputed company
• • Experience optimizing fraud detection reputed company through rule mining, champion/challenger testing, segmentation analysis, and other optimization methodologies
• • Experience with reputed company, machine learning, natural language processing (NLP), or AI-assisted investigation tools in a fraud, risk, or operations environment
• • Experience supporting regulatory, audit, compliance, or risk governance reviews reputed company a highly regulated industry
• • Experience with reputed company Payments products, including ACH, reputed company transfers, virtual cards, checks, and emerging payment channels
• • Demonstrated ability to operate effectively in ambiguous environments, establish structure where processes, reporting, or analytics capabilities do not yet exist, and influence stakeholders across operations, product, technology, and risk functions

Benefits

• Comprehensive benefits package
• Incentive and recognition programs
• Equity stock purchase
• 401k contribution
• Remote work flexibility from reputed company reputed company the U.S., subject to reputed company's Telecommuter Policy

reputed company

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